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Jobs

Please note that unsolicited applications for Postdoc or PhD student positions may be sent to the professors of our institute at any time.

Postdocs / Project Managers / Scientific Assistants

• [[Stellenausschreibung101/en|A postdoctoral researcher position is available at the newly established research group Systems, Data, Simulation & Energy (SYDSEN) at the AIFB Institute. The SYDSEN research group deals with the use of data for providing decision support and enhancing energy efficiency, reliability and other performance metrics of cyber-physical systems, such as energy systems or smart manufacturing systems. In particular, our focus is on the development of new methods and approaches for data-driven modeling and simulation and its seamless integration with expert knowledge.

  Your activities will include research in the field of data-driven modeling and simulation for enhancement of energy efficiency and energy systems. In addition to research work, you will be also active in coordination and teaching of courses that are offered by the research group, and you will be involved in science administration.

  
  

  Personal qualification

  • A doctoral degree in computer science, software engineering, data science or similar,
  • Solid publication record in data-driven approaches,
  • Strong ambition towards excellence in science and technology at the highest international level is expected,
  • Experience in teaching is highly appreciated,
  • Experience with writing proposals is highly appreciated,
  • Experience in modeling and simulation is highly appreciated,
  • Good knowledge of German or the willingness to learn it,
  • Good command of English.

  
  

  Salary

  The remuneration occurs on the basis of the wage agreement of the civil service in EG-13, depending on the fulfillment of professional and personal requirements.

  
  

  Starting date

  1. January 2023 or soon thereafter

  
  

  Contract duration

  limited for 2 years with the possibility of extension

  
  

  Contact person in line-management

  For further information, please contact Prof. Sanja Lazarova-Molnar, email: sanja lazarova-molnar∂kit edu.

  
  

  Application

  Please send CV, transcripts and a copy of your PhD thesis (draft is ok), names of two references and a motivation letter stating your research interests to sanja lazarova-molnar∂kit edu, subject: "PostDoc application". Send all documents as a single PDF; give the PDF a name that includes your name. The positions are open until filled.

  vacancy number: 2239/2022

  We prefer to balance the number of employees (f/m/d). Therefore, we kindly ask female applicants to apply for this job.

  Recognized severely disabled persons will be preferred if they are equally qualified.]]
  ([[{{{5}}}/en|{{{5}}}]])
  Description: Sorry, no description available!

• We are seeking applications from individuals with a very good Ph.D. and expertise on an international level in at least one of the topic areas Large-Scale Information Retrieval, Text Mining, Natural Language Processing, Machine Learning, or Data Mining. Further, we require general competencies that qualify you for acquisition and coordination of research projects, for the guidance of Ph.D. students and for participation in lecturing. The position requires advanced German and English language skills. We offer a first-class and international research environment with substantial freedom with respect to your thematic orientation and research activities. The close cooperation with the FZI - Research Center for Information Technology in Karlsruhe, the Karlsruhe Service Research Institute (KSRI) and a large industry partner network allow for the combination of fundamental and applied research and a fast transfer of research results into practice. The Karlsruhe Institute of Technology is an equal opportunities employer and welcomes applications from women. Handicapped persons having the same qualification will be preferred. For further questions with respect to this position, please contact Sebastian Blohm (blohm∂kit edu). For best consideration, please submit your application, preferably electronically as PDF to bewerbung-studer∂aifb uni-karlsruhe de or to Karlsruhe Institute of Technology, Prof. Dr. Rudi Studer, Institut AIFB – 11.40, D-76128 Karlsruhe. The deadline for applications is November 30th. However, review of application will continue until the position is filled.
  Research group: Web Science ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

• KIT is one of the world’s leading research institutions in the field of technology. The Web Science research group at the KIT Institute AIFB is known worldwide for its research in the field of knowledge representation and, under the direction of Dr. Färber, deals with data science topics. The research group’s focus is on the development and application of artificial intelligence (AI) methods. The core topics include the semantic representation of knowledge through knowledge graphs, machine learning (e.g. for search and recommendation systems), natural language processing, the combination of knowledge graphs with machine learning or natural language processing, and the Internet of Things. The methods are developed, among other things, to support digitization in companies through intelligent systems. The focus is also on the implementation of the FAIR principles, the support of scientists, and AI-based science communication. Examples of this are recommendation systems for scientific publications and the creation of scholarly knowledge graphs. The research group works closely with the Information Process Engineering (IPE) research division of the FZI Research Center for Computer Science (FZI). There are also numerous connections to national and international research institutions and companies. For our team at the “Web Science” chair, we are looking for a postdoc with the following tasks: * Performing own research in at least one of the following areas: Semantic Web (e.g., knowledge graphs), machine learning (e.g., deep learning), natural language processing. * Co-supervision of PhD students on the above-mentioned subject areas. * Acquisition of third-party funded research projects. * Project management and collaboration in national and international projects. * Participation in teaching (e.g., lectures in English for bachelor's and master's degree programs; lectures in German a plus). * Presentation of research results and prototypes in the context of publications and talks at national and international level. You have * PhD in computer science, computational linguistics, mathematics, or a related subject. * Expertise in the field of semantic web, machine learning, and/or natural language processing. * Expertise in graph neural networks is desirable, but not a prerequisite. * A high degree of personal responsibility, motivation, commitment, and excellent teamwork skills. * Very good knowledge of English and presentation skills. We offer you an attractive and modern workplace with access to the excellent equipment of the KIT and the university chair, a varied and responsible job with an open and pleasant working atmosphere, a wide range of advanced training options as well as an additional pension according to VBL, flexible working time models, a subsidy for the JobTicket BW, and a canteen. Salary: The remuneration occurs on the basis of the wage agreement of the civil service in TV-L (E13, 100%; around € 75,000 gross per year). Relevant work experience can be taken into account. Contract duration: Initially limited to up to two years (option to extend). Starting date: As soon as possible. Application up to: June 30, 2021. Later applications can be taken into account where applicable. For technical information, please contact Dr.-Ing. Michael Färber (michael faerber∂kit edu). Please send your detailed application with cover letter, academic CV, list of publications, and copies of degrees and certificates in one PDF file to Beate Kühner (kuehner∂kit edu) and Dr.-Ing. Michael Färber (michael faerber∂kit edu). We prefer to balance the number of female and male employees. Therefore, we kindly encourage female applicants to apply for this job. Recognized severely disabled persons will be preferred if they are equally qualified. KIT is certified as a family-friendly university (familienfreundliche Hochschule) and offers part-time employment, leaves for family-related reasons, dual career options, and individual coaching for family-work balance.
  Research group: Web Science ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

• Stellenausschreibung176/en
  Research group: Cooperative Autonomous Systems ([[{{{5}}}/en|{{{5}}}]])
  Description: Sorry, no description available!

• Stellenausschreibung177/en
  Research group: Systems, Data, Simulation & Energy ([[{{{5}}}/en|{{{5}}}]])
  Description: Sorry, no description available!

• Stellenausschreibung196/en
  Research group: Cooperative Autonomous Systems ([[{{{5}}}/en|{{{5}}}]])
  Description: Sorry, no description available!

• Stellenausschreibung207/en
  Research group: Systems, Data, Simulation & Energy ([[{{{5}}}/en|{{{5}}}]])
  Description: Sorry, no description available!

• Stellenausschreibung216/en
  Research group: Systems, Data, Simulation & Energy ([[{{{5}}}/en|{{{5}}}]])
  Description: Sorry, no description available!

• [[Stellenausschreibung4/en|]]
  Research group: Web Science ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

PhD-Students / Research Associates

• [[Stellenausschreibung1/en|]]
  Research group: Web Science ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

• The KIT has long been regarded as a leading center for highly automated driving. The Research Group of Applied Technical Cognitive Systems at the Institute of Applied Informatics and Formal Description Methods (AIFB) at the KIT is concerned with the technologies of applied machine intelligence. Based on fundamental research, new systems such as autonomous service robots, autonomous vehicles or assistance systems with cognitive capabilities are to be realized. The use of these so-called technical-cognitive systems takes place primarily in the context of highly automated, efficient and inter-modal mobility. Who We Are Looking For In order to strengthen our interdisciplinary team, we are looking for graduates (diploma or master) in computer science, electrical engineering, mathematics, mechanical engineering or related fields with excellent academic records to fill several full-time positions. We expect interest in interdisciplinary scientific work, self-motivation and teamwork for active and independent cooperation in research projects and teaching. Very good language skills in either German or English are required. What We Can Offer We offer a first-class environment with diverse, interesting research topics and projects for an accompanying PhD thesis. Due to the close cooperation with the Research Center for Information Technology (FZI) and various research and industry partners we can provide an ideal framework for researching innovative ideas, implementing them in a laboratory environment, testing them and then applying them in practice. Besides bright minds in the field, we have access both to highly developed software stacks as well as modern hardware. Several research vehicles, as well as complex simulators are available to evaluate and validate systems. In addition we test directly on the unique "Test Area for Autonomous Driving Baden-Wuerttemberg" in real-world road traffic. Additional Information The salary is based on the labor agreement of the public service (TV-L) in group E13. The KIT is an equal opportunities employer and therefore welcomes applications from women. In case of suitability, severely handicapped applicants will be preferred. Please do not hesitate to contact us by email or phone. Applications with the usual documents should preferably be sent by email to the address below. : Prof. Dr. J. Marius Zöllner : Institut AIFB | Bldg. 05.20 : KIT | Campus South : 76128 Karlsruhe : +49 721 9654 350 : marius zoellner∂kit edu
  Research group: Applied Technical Cognitive Systems ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

• This job posting is available in German only.
  Research group: Security • Usability • Society ([[{{{5}}}/en|{{{5}}}]])
  Description: Sorry, no description available!

• only in German
  Research group: Web Science ([[{{{5}}}/en|{{{5}}}]])
  Description: Sorry, no description available!

• This job posting is available in German only.
  Research group: Security • Usability • Society ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

• We, the interdisciplinary research group SECUSO (Security - Usability - Society) at the Karlsruhe Institute of TEchnology (KIT), are active in various areas of Human Factors in Security & Privacy. Current topics include cookie banners, authentication on AR/VR glasses, verifiable online voting systems, notification studies, security UI patterns, and explainability of security solutions and guarantees. The candidate will conduct research in the field of Human Factors in Security & Privacy, which is conducting interviews, focus groups, online/laboratory or field studies and publish and present the results at international conferences. In addition to research work, candidates will also be involved in teaching activities and scientific administration, which also includes the organization of events. For our interdisciplinary team we are looking for researchers with a degree in computer science, business informatics, media informatics, industrial engineering, mathematics, communication sciences, psychology, or related areas. Candidates should have attended lectures on security or usability and are interested in the research area Human Factors in Security & Privacy. They should have already gained experience in interdisciplinary work. Programming experience and experience in conducting qualitative and quantitative studies is an advantage. The position is suitable for PhD candidates as well as PostDocs. Salary category 13 TV-L is intended. You can find the job description and the link for the application on the KIT website: https://www.pse.kit.edu/english/karriere/joboffer.php?id=145583
  Research group: Security • Usability • Society ([[{{{5}}}/en|{{{5}}}]])
  Description: Sorry, no description available!

• [[Stellenausschreibung132/en|KIT is one of the world’s leading research institutions in the field of technology. The Web Science research group at the KIT Institute AIFB is known worldwide for its research in the field of knowledge representation and, under the direction of Dr. Färber, deals with data science topics. The research group’s focus is on the development and application of artificial intelligence (AI) methods. The core topics include natural language processing (e.g., information extraction from text), the semantic representation of knowledge through knowledge graphs, machine learning (e.g. for search and recommender systems), and the combination of these topics (see the examples here).

  
  The research group works closely with the Information Process Engineering (IPE) research division of the FZI Research Center for Computer Science (FZI). There are also numerous connections to national and international research institutions and companies. An excellent infrastructure with servers and high-performance computers (e.g. HoreKa, one of the 15 fastest computers in Europe) is available for research.

  
  For our team at the research group Web Science (lead: Dr. Michael Färber), we are looking for a PhD student with the following tasks:

  • Performing research in at least one of the following areas: natural language understanding/natural language processing, knowledge graphs, machine learning.
  • Contributing to national and international research projects, often with industry partners.
  • Participation in teaching (e.g., organizing seminars and exercises for lectures in English, as well as for German if applicable).
  • Presentation of research results and prototypes in the context of publications and talks at national and international level.

  
  You have

  • A completed or almost completed master’s degree in computer science, business informatics, industrial engineering, computational linguistics, mathematics, or a related subject.
  • Expertise in natural language understanding/natural language processing, knowledge graphs, or machine learning.
  • A high degree of personal responsibility, motivation, commitment, and excellent teamwork skills.
  • Good knowledge of English and presentation skills.

  
  We offer

  • A modern workplace with access to the excellent equipment of the KIT and the university chair. This includes access to servers and high-performance computers and a notebook.
  • A varied and responsible job with an open and pleasant working atmosphere and the freedom to familiarize yourself with research topics.
  • Flexible working times.
  • International, financially supported research stays and reimbursement of all conference trips.
  • A wide-ranging, financially supported further training offer, also “outside the box”.
  • An additional pension according to VBL and a canteen.

  
  Salary: TV-L (E13, 100%; around € 57,000 gross per year).

  
  Application up to: March 6, 2022.

  It is recommended that you submit your application as early as possible.

  
  For technical information, please contact Dr.-Ing. Michael Färber (michael faerber∂kit edu).

  
  Please send your detailed application with cover letter, CV, copies of degrees and certificates in one PDF file to Beate Kühner (kuehner∂kit edu) and Dr. Michael Färber (michael faerber∂kit edu).

  We prefer to balance the number of female and male employees. Therefore, we kindly encourage female applicants to apply for this job.

  Recognized severely disabled persons will be preferred if they are equally qualified.

  KIT is certified as a family-friendly university (familienfreundliche Hochschule) and offers part-time employment, leaves for family-related reasons, dual career options, and individual coaching for family-work balance.]]
  Research group: Web Science ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

• [[Stellenausschreibung136/en|]]
  Research group: Web Science ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

• We are recruiting for the position of a PostDoc / Senior Researcher (m/f/d) starting as soon as possible. Job Description: - The offered position will be in the FIZ ISE research team - Innovative research on ISE research topics including scientific publications, third party funding proposals, active involvement in professional academic activities - Teaching (at Karlsruhe Institute of Technology, KIT) is not mandatory, but welcome on a volunteer basis - Supervision of master & bachelor theses, Co-supervision of FIZ ISE PhD students - We offer a productive and continuously evolving research environment, in which you can discuss ideas with ISE team members working on related topics as well as the opportunity to set up your own research team - Our goal is to perform internationally leading research which can be applied in high impact use cases This position is part of the NFDI4Culture project on research data infrastructures for material and immaterial cultural heritage. NFDI4Culture is part of the German Research Data Infrastructure initiative. Particular tasks within the project will be the design, implementation, population and management of the NFDI4Culture knowledge graph. Moreover, the position is connected with a co-lead of the NFDI4Culture Technical Coordination Office for overall technical management and support of the technical developments within the consortium.
  Research group: Information Service Engineering ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

• We are recruiting for the position of a PhD Candidate / Junior Researcher (m/f/x) starting in January 2021 in the fields of - Natural Language Processing - Visual Analysis - Machine Learning and Deep Learning - Knowledge Graphs The offered position will be in the research team “Information Services Engineering” (FIZ ISE). The doctorate will be supervised by Prof. Dr. Harald Sack (FIZ Karlsruhe and Karlsruhe Institute of Technology, KIT, Institute of Applied Informatics and Formal Description Methods). Teaching (at KIT) is not mandatory, but welcome on a volunteer basis. Work will be focused on challenging third party funded international research projects related to the PhD topic. In particular for this position the candidate will work in the project “Wiedergutmachung” founded by the German Federal Ministry of finance (BMF).
  Research group: Information Service Engineering ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

• We are recruiting for the position of a PhD Candidate / Junior Researcher (m/f/x) starting in October 2020 in the fields of - Natural Language Processing - Knowledge Graphs - Machine Learning and Deep Learning The offered position will be in the research team “Information Services Engineering” (FIZ ISE). The doctorate will be supervised by Prof. Dr. Harald Sack (FIZ Karlsruhe and Karlsruhe Institute of Technology, KIT, Institute of Applied Informatics and Formal Description Methods). Teaching (at KIT) is not mandatory, but welcome on a volunteer basis. Work will be focused on challenging third party funded international research projects related to the PhD topic. In particular for this position the candidate will work in the project “Nutzerorientierte Neustrukturierung des Portals Deutsche Digitale Bibliothek” (User-oriented restructuring of The German Digital Library). Particular tasks within the project will be the design, implementation, population and management of the DDB knowledge graph, which involves knowledge discovery and mining on structured and unstructured data on large scale.
  Research group: Information Service Engineering ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

• We are recruiting for the position of a PostDoc / Senior Researcher (m/f/x) starting as soon as possible. Job Description: - The offered position will be in the FIZ ISE research team. - Innovative research on ISE research topics including scientific publications, third party funding proposals, active involvement in professional academic activities. - Teaching (at Karlsruhe Institute of Technology, KIT) is not mandatory, but welcome on a volunteer basis. - Supervision of master and bachelor theses, Co-supervision of FIZ ISE PhD students. - We offer a productive and continuously evolving research environment, in which you can discuss ideas with FIZ ISE team members working on related topics as well as the opportunity to set up your own research team. - Our goal is to perform internationally leading research which can be applied in high impact use cases. This position is part of the DDB2020 project on “User-oriented Restructuring of the German Digital Library”. Particular tasks within the project will be the design, implementation, population and management of the DDB knowledge graph, which involves knowledge discovery and mining on structured and unstructured data on large scale.
  Research group: Information Service Engineering ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

• Job description: KIT is one of the world’s leading research institutions in the field of technology. The Web Science research group at the KIT Institute AIFB is known worldwide for its research in the field of knowledge representation and, headed by Dr. Michael Färber, deals with the development and application of trustworthy artificial intelligence. The core topics include the semantic representation of knowledge through knowledge graphs, corresponding information systems (represented by Dr. Tobias Käfer’s Junior Research Group), machine learning, natural language processing, and the combination of these topics. The research group works closely with the Information Process Engineering (IPE) research division of the FZI Research Center for Computer Science (FZI). There are also numerous connections to national and international research institutions and companies. An excellent infrastructure with servers and high-performance computers (e.g. HoreKa, one of the 15 fastest computers in Europe) is available for research. For the KIT junior research group “Knowledge Graph-based Artificial Intelligence Systems” and the “Web Science” research group, we are looking for a PhD student and research associate with the following tasks: * Performing research in at least one of the following areas: knowledge representation, knowledge graph management, decentralized web, agents on the web, recommender systems, graph neural networks, AI methods for causal and procedural knowledge, combining language models with symbolic information * Collaboration with our national and international industrial and academic partners in research projects * Contributing to the group’s teaching (in English or German). * Presenting research results and prototypes in the context of publications and talks on national and international level. Qualification: You have * A very good master’s degree in computer science, information systems, industrial engineering, computational linguistics, mathematics, or a related subject until the start of the position. * Expertise in the above-mentioned topics around knowledge graphs and information systems. * A high degree of personal responsibility, motivation, commitment, and excellent teamwork skills. * Good presentation skills. * A good knowledge of English (written and oral form). * A good command of German is a plus, and can get acquired on the job We offer: We offer * A modern workplace with access to the excellent infrastructure of the KIT and the research group. This includes access to servers and high-performance computers and a work station. * An open and pleasant working atmosphere * A wide-ranging, financially supported further training offer, also “outside the box”. * An additional pension according to VBL and a canteen. Salary: The remuneration occurs on the basis of the wage agreement of the civil service in TV-L (E13, 100%; around € 51,000 gross per year). Contract duration: Limited to one year with an option to extend for a further three years. Starting date: As soon as possible (flexible). Application up to: January 09, 2022. We recommended that you submit your application as early as possible. Applications after the deadline may or may not be considered. For information on specific topics, please contact Dr. Tobias Käfer (tobias kaefer∂kit edu) or Dr. Michael Färber (michael faerber∂kit edu). Application: Please send your detailed application with cover letter, CV, copies of degrees and certificates in one PDF file to Beate Kühner (kuehner∂kit edu), Dr. Tobias Käfer (tobias kaefer∂kit edu), and Dr. Michael Färber (michael faerber∂kit edu). We prefer to balance the number of female and male employees. Therefore, we kindly encourage female applicants to apply for this job. Recognized severely disabled persons will be preferred if they are equally qualified.
  Research group: Web Science ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

• We are recruiting for the position of a PostDoc / Senior Researcher (m/f/d) starting as soon as possible. Job Description: • The offered position will be in the FIZ ISE research team • Innovative research on ISE research topics including scientific publications, third party funding proposals, active involvement in professional academic activities • Teaching (at Karlsruhe Institute of Technology, KIT) is not mandatory, but welcome on a volunteer basis • Supervision of master & bachelor theses, Co-supervision of FIZ ISE PhD students • We offer a productive and continuously evolving research environment, in which you can discuss ideas with ISE team members working on related topics as well as the opportunity to set up your own research team • Our goal is to perform internationally leading research which can be applied in high impact use cases This position is part of the NFDI4Culture project on research data infrastructures for material and immaterial cultural heritage. NFDI4Culture is part of the German Research Data Infrastructure initiative. Particular tasks within the project will be the design, implementation, population and management of the NFDI4Culture knowledge graph. Moreover, the position is connected with a co-lead of the NFDI4Culture Technical Coordination Office for overall technical management and support of the technical developments within the consortium. Qualifications and Skills: • An completed PhD and Master degree in Computer Science or a related field • Publications of research results in renowned, peer-reviewed journals and conferences • Proven software engineering skills and the ability to develop mature software components beyond pure research prototypes • Successful supervision of bachelor and master students • Successful collaborations with other research groups, industry, as well as open-source and community initiatives, for example, in the context of publicly funded collaborative research projects • Successful competition for funding by national and international funding bodies • Excellent English skills, written and spoken, German language skills are beneficial Expertise in one or more of the following fields of research: • Knowledge Graphs and Semantic Web Technologies • Ontologies and Ontological Engineering • Machine Learning and Deep Learning • Knowledge Discovery and Knowledge Mining The candidate should be highly self-motivated, be interested in tackling challenging research problems, have organizational skills, be open minded, and have scientific leadership potential. Your salary will be based on the collective agreement for public sector employees (German Tarifvertrag öffentlicher Dienst (TVöD)) and will depend on your profile. The position is limited to two years with an optional extension. How to apply: Excellent candidates are invited to apply with: • detailed curriculum vitae • copies of degree certificates/transcripts • publication record • writing samples/copies of relevant scientific papers (e.g. thesis, etc.) • letters of recommendation (preferably at least two) • a statement of interest/letter of motivation covering your research goals Please send your complete application documents by e-mail to Prof. Dr. Harald Sack (harald sack∂kit edu).
  Research group: Information Service Engineering ([[{{{5}}}/en|{{{5}}}]])
  Description: Sorry, no description available!

• KIT is one of the world’s leading research institutions in the field of technology. The Web Science research group at the KIT Institute AIFB is known worldwide for its research in the field of knowledge representation and, under the direction of Dr. Färber, deals with data science topics. The research group’s focus is on the development and application of artificial intelligence (AI) methods. The core topics include the semantic representation of knowledge through knowledge graphs, machine learning (e.g. for search and recommendation systems), natural language processing, the combination of knowledge graphs with machine learning or natural language processing, and the Internet of Things. The methods are developed, among other things, to support digitization in companies through intelligent systems. The focus is also on the implementation of the FAIR principles, the support of scientists, and AI-based science communication. Examples of this are recommendation systems for scientific publications and the creation of scholarly knowledge graphs. The research group works closely with the Information Process Engineering (IPE) research division of the FZI Research Center for Computer Science (FZI). There are also numerous connections to national and international research institutions and companies. For our team at the “Web Science” chair, we are looking for a PhD student with the following tasks: * Performing research in at least one of the following areas: Semantic Web (e.g., knowledge graphs), machine learning (e.g., deep learning), natural language processing. * Contributing to national and international research projects, often with industry partners. * Participation in teaching (e.g., organizing seminars and exercises for lectures in English, as well as for German if applicable). * Presentation of research results and prototypes in the context of publications and talks at national and international level. You have * A very good master’s degree in computer science, computational linguistics, mathematics, or a related subject (completed or almost completed studies). * Expertise in the field of semantic web, machine learning, and/or natural language processing. * A high degree of personal responsibility, motivation, commitment, and excellent teamwork skills. * Good knowledge of English and presentation skills. We offer you an attractive and modern workplace with access to the excellent equipment of the KIT and the university chair, a varied and responsible job with an open and pleasant working atmosphere, a wide range of advanced training options as well as an additional pension according to VBL, flexible working time models, a subsidy for the JobTicket BW, a canteen, as well as the possibility of international research stays. Salary: The remuneration occurs on the basis of the wage agreement of the civil service in TV-L (E13, 100%; around € 50,000 gross per year). Contract duration: Limited to one year with an option to extend for a further three years. Starting date: As soon as possible. Application up to: June 20, 2021. Later applications can be taken into account where applicable. For technical information, please contact Dr.-Ing. Michael Färber (michael faerber∂kit edu). Please send your detailed application with cover letter, CV, copies of degrees and certificates in one PDF file to Beate Kühner (kuehner∂kit edu) and Dr. Michael Färber (michael faerber∂kit edu). We prefer to balance the number of female and male employees. Therefore, we kindly encourage female applicants to apply for this job. Recognized severely disabled persons will be preferred if they are equally qualified. KIT is certified as a family-friendly university (familienfreundliche Hochschule) and offers part-time employment, leaves for family-related reasons, dual career options, and individual coaching for family-work balance. More information can be found in the linked PDF document.
  Research group: Web Science ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

• Die Forschungsgruppe Betriebliche Informationssysteme befasst sich mit Fragestellungen an der Schnittstelle zwischen Software Engineering und Business Process Engineering. In verschiedenen Forschungsschwerpunkten werden Querschnittsthemen wie Digitalisierung, Informationssicherheit und Nachhaltigkeit mit aktuellen Technologien und Anwendungsfeldern verknüpft. Mit Sprachen, Methoden und Werkzeugen der Angewandten Informatik werden Lösungen für aktuelle Herausforderungen von Wirtschaft, Verwaltung und Gesellschaft entwickelt.
  
  Wir suchen eine Mitarbeiterin / einen Mitarbeiter für anstehende Aufgaben in Drittmittelprojekten. Aktuelles Forschungsthema ist die automatisierte Erstellung eines durchsuchbaren Kompetenzpools aus Veröffentlichungen von Forschenden. Nähere Informationen zum Thema sind unter [https://go.wiwi.kit.edu/Kompetenzpool] zu finden
  
  Weitere Aufgaben sind die Unterstützung von Vorlesungen und die Durchführung von Übungen, Seminaren und Praktika. Die Möglichkeit zur Promotion ist gegeben und wird unterstützt.
  
  Persönliche Qualifikation:
  • Sehr guter Abschluss (Master oder vergleichbar) in Informationswirtschaft, Wirtschaftsingenieurwesen, Informatik, Wirtschaftsinformatik oder einem eng verwandten Fach
  • Kenntnisse in und Bereitschaft zur Programmierung
  • Kenntnisse im Bereich der konzeptuellen Modellierung
  • Wünschenswert sind darüber hinaus Kenntnisse in Natural Language Processing, Data Mining oder Ontologien
  
  
  Bewerbung an:
  
  Karlsruher Institut für Technologie (KIT)
  Campus-Süd
  Institut für Angewandte Informatik und Formale Beschreibungsverfahren
  Prof. Dr. Andreas Oberweis
  Geb. 05.20
  
  76128 Karlsruhe
  E-Mail: andreas oberweis∂kit edu
  
  Das KIT legt Wert auf die berufliche Gleichstellung von Frauen und Männern. Wir würden uns daher insbesondere über die Bewerbung von Frauen freuen.
  
  Bei entsprechender Eignung werden schwerbehinderte Bewerber/innen bevorzugt berücksichtigt.
  
  Research group: Business Information Systems ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

• Job description: KIT is one of the world’s leading research institutions in the field of technology. The Web Science research group at the KIT Institute AIFB is known worldwide for its research in the field of knowledge representation and, headed by Dr. Michael Färber, deals with the development and application of trustworthy Artificial Intelligence. The core topics include the semantic representation of knowledge through knowledge graphs, corresponding information systems (represented by Dr. Tobias Käfer’s Junior Research Group), machine learning, natural language processing, and the combination of these topics. The research group works closely with the Information Process Engineering (IPE) group, an Artificial Intelligence research division of the FZI Research Center for Computer Science (FZI). There are also numerous connections to national and international research institutions and companies. An excellent infrastructure with servers and high-performance computers (e.g. HoreKa, one of the 15 fastest computers in Europe) is available for research. For the “Web Science” research group, we are looking for a PhD student and research associate for the KIGLIS project (http://www.kiglis.de/). The KIGLIS project is about Artificial Intelligence for the optical networks of a Smart City, where the group leads the Artificial Intelligence research part. In the project, we develop and apply Artificial Intelligence methods for all parts of the communication in a smart city, ranging from fiber and 5G network infrastructure to applications (e.g. autonomous driving). As considerable amounts of data are processed during this research, FAIR data stewardship is a side-topic to achieve reproducible Artificial Intelligence. The project is in collaboration with renowned labs from academia and industry. The job entails the following tasks: * Performing research in at least one of the following areas: explainable AI, knowledge graphs for FAIR data stewardship, spatio-temporal learning, graph neural networks, quantum computing, neuromorphic neural networks, deep learning. * Contributing to the group’s teaching (in English or German) is appreciated. * Presenting research results and prototypes in the context of publications and talks on national and international level. Qualification: You have * A very good master’s degree in computer science, information systems, industrial engineering, electrical engineering, physics, mathematics, or a related subject until the start of the position. * Expertise and interest in the above-mentioned areas. * A high degree of personal responsibility, motivation, commitment, and excellent teamwork skills. * Good presentation skills. * A good knowledge of English (written and oral form). * A good command of German is a plus, and can get acquired on the job We offer: We offer * A modern workplace with access to the excellent infrastructure of the KIT and the research group. This includes access to servers and high-performance computers and a work station. * An open and pleasant working atmosphere * A wide-ranging, financially supported further training offer, also “outside the box”. * An additional pension according to VBL and a canteen. Salary: The remuneration occurs on the basis of the wage agreement of the civil service in TV-L (E13, 100%; around € 51,000 gross per year). Contract duration: Limited to one year with an option to extend for a further three years. Starting date: As soon as possible (flexible). Application up to: January 9, 2022. We recommended that you submit your application as early as possible. Applications after the deadline may or may not be considered. Please contact Dr. Tobias Käfer (tobias kaefer∂kit edu) or Dr. Michael Färber (michael faerber∂kit edu) in case of questions. Application: Please send your detailed application with cover letter, CV, copies of degrees and certificates in one PDF file to Beate Kühner (kuehner∂kit edu), Dr. Tobias Käfer (tobias kaefer∂kit edu), and Dr. Michael Färber (michael faerber∂kit edu). We prefer to balance the number of female and male employees. Therefore, we kindly encourage female applicants to apply for this job. Recognized severely disabled persons will be preferred if they are equally qualified.
  Research group: Web Science ([[{{{5}}}/en|{{{5}}}]])
  Description: Sorry, no description available!

• Im Rahmen der interdisziplinären Forschungsgruppe SECUSO (Security • Usability • Society) gehören zu Ihren Tätigkeiten in erster Linie Forschungsarbeiten auf dem Gebiet Human Factors in Security bzw. konkret im Teilgebiet der Security-Interventionen. Erforscht wird, wie die Ergebnisse von Security Checks verständlich kommuniziert werden können, sodass die Adressaten eine informierte Entscheidung treffen können, wie auf das Ergebnis reagiert werden soll. Der Security Check kann regel-basiert sein, Ansätzen des Maschinellen Lernens (ML) oder beides in Kombination verwenden. Mit Hinblick auf den Einsatz von Ansätzen des ML spielt das Thema Erklärbarkeit eine besondere Rolle. Im Bereich der Forschungsarbeiten zählen zu Ihren Tätigkeiten die Durchführung von Interviews um beispielsweise Mentale Modelle zu identifizieren, Fokus Gruppen, um Security Interventionen zu erarbeiten oder weiterzuentwickeln sowie die Evaluation der Security-Interventionen in Benutzerstudien, das Publizieren von Forschungsergebnissen und die Beteiligung an nationalen und internationalen Konferenzen. Neben den Forschungsarbeiten sind Sie auch an der Lehre und der Wissenschaftlichen Verwaltung beteiligt, zu der u.a. auch die Organisation von Veranstaltungen zählt. Zusätzlich zu der wissenschaftlichen Tätigkeit besteht die Möglichkeit einer Promotion.
  Research group: Security • Usability • Society ([[{{{5}}}/en|{{{5}}}]])
  Description: Sorry, no description available!

• Wir suchen Verstärkung für unser Team im Forschungsgebiet IT-Sicherheitsmanagement. Wie schützen kleine und mittelständige Unternehmen die Daten ihrer Kunden und wie kann man sie darin unterstützen darin besser zu werden? In unserer Forschungsgruppe erforschen wir Internettechnologien (bspw. Blockchain, Cloud Computing, Internet of Things), ihr Design, ihre Verwendung, und ihre wechselseitigen Einflüsse auf unsere Gesellschaft. Im Rahmen der Beschäftigung werden Sie in einem spannenden Forschungsprojekt arbeiten, das darauf abzielt die Entscheidungsunterstützung im IT-Sicherheitsmanagement für kleine und mittelständige Unternehmen zu erforschen und zu verbessern, um eine nutzerfreundliche, nachhaltige und gesellschaftlich-wünschenswerte Gestaltung von zukünftigen Informationssystemen zu fördern. Forschungstätigkeiten umfassen dabei wichtige Grundlagenforschung als auch praxisnahe Anwendbarkeit. Die Möglichkeit zur Promotion ist gegeben und wird gefördert.

  Wissenschaftliche Mitarbeiter*innen (m/w/d, 100% TV-L E13)

  Das Ziel des Forschungsprojekts ist es den Einsatz von intelligenten Sicherheitsassistenten in kleinen und mittelständigen Unternehmen wissenschaftlich fundiert zu erforschen und zu verbessern. Im Zuge der digitalen Transformation stellt die Sicherheit der Informationstechnik insbesondere kleine und mittelständische Unternehmen vor große Herausforderungen. Mit intelligenten Sicherheitsassistenten soll die unternehmensinterne IT-Infrastruktur, sowie die IT-Sicherheitspräferenzen der Unternehmen erfasst und basierend darauf individuelle und konkrete Handlungsvorschläge generiert werden, um das IT-Sicherheitsmanagement in KMU zu verbessern. Über derartige interaktive Endanwendungen sollen KMU so dazu befähigt werden, selbst kompetente Entscheidungen zu treffen, die das IT-Sicherheitsniveau des Unternehmens steigern.

  Es erwartet Sie eine sehr interessante und abwechslungsreiche Tätigkeit im Rahmen von innovativen Forschungsthemen; erstklassige Spitzenforschung mit realweltlichen Bezug; ein angenehmes Arbeitsklima in einem interdisziplinären und dynamischen Team; Einbindung in eine Forschungsgruppe mit intensiver Promotionsbetreuung; frühe Übernahme von Verantwortung in interdisziplinären Projekten; vielfältige persönliche Entwicklungsmöglichkeiten durch die enge Zusammenarbeit mit Praxispartnern und anderen Hochschulen; Austausch und Zusammenarbeit mit weltweit führenden Forschungseinrichtungen. Die Tätigkeiten umfassen viele Facetten der angewandten Informatik (bspw. Entwicklung und Implementierung von innovativen Konzepten, Meisterung von Herausforderungen bei der Gestaltung von IT-Artefakten sowie Untersuchung der beabsichtigten und unbeabsichtigten Einflüsse von Informationssystemen auf ihr Umfeld).

  Wir erwarten: Sie verfügen über ein erfolgreich abgeschlossenes Hochschulstudium (Diplom (Uni)/Master) in Informatik, Wirtschaftsingenieurwesen, Wirtschaftsinformatik, Informationswirtschaft oder verwandten Fachgebieten; Erfahrung in der Systementwicklung; ein ausgeprägtes Interesse an der Sicherheit von IT-Systemen; hohes Engagement und Interesse an qualitativ hochwertiger Forschung; Wille zur Schaffung und Einreichung von Forschungsbeiträgen in Spitzenzeitschriften; hohe Selbstdisziplin und Eigenständigkeit; Bereitschaft zum (fortlaufenden) selbstgesteuerten Lernen; Kreativität und Offenheit für die Arbeit in interdisziplinären Projekten sowie Bereitschaft zur nationalen und internationalen Kooperation mit Partnern in Wissenschaft und Praxis; Freude an der Übernahme von Verantwortung; sehr gutes Kommunikationsvermögen und sehr gute Deutsch- und Englischkenntnisse. Ausgeprägte Vorkenntnisse in der Softwareentwicklung runden Ihr Profil ab.

  Unsere Forschungsgruppe ist dem Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB) des Karlsruher Instituts für Technologie (KIT) zugeordnet. Die Forschungsgruppe wird von Prof. Dr. Ali Sunyaev geleitet und ist in den Themengebieten Distributed Ledger Technology, Cloud Computing und Information Privacy eine der weltweit führenden Institutionen. Wir beschäftigen uns mit interdisziplinären Forschungsfragen rund um die konzeptionelle bzw. sozio-technische Gestaltung, Entwicklung und Evaluation zuverlässiger, sicherer und nutzerzentrierter Software / Informationssysteme im privaten und öffentlichen Sektor. Dabei kommt neben den technischen Aspekten den sozialen und organisatorischen Perspektiven eine wichtige Rolle zu. In unserer Forschung beschäftigen wir uns sowohl mit Theoriebildung als auch mit der Entwicklung von Anwendungen und Methoden mit einer hohen praktischen Relevanz. Unsere interdisziplinäre Forschung erstreckt sich über verschiedene Anwendungsdomänen wie z. B. Digital Health, Zertifizierung und Gamification.

  Das KIT verbindet als eine der elf Exzellenzuniversitäten in Deutschland auf einzigartige Weise die Traditionen einer renommierten technischen Universität und einer bedeutenden Großforschungseinrichtung. Dabei sieht sich das KIT in der Verantwortung, durch Forschung und Lehre Beiträge zur nachhaltigen Lösung großer Aufgaben von Gesellschaft, Wirtschaft und Umwelt zu leisten. Dazu setzt das KIT seine finanziellen und personellen Ressourcen mit bestmöglicher Wirksamkeit ein. Wissenschaftlerinnen und Wissenschaftler des KIT kommunizieren Inhalte und Ergebnisse ihrer Arbeit in die Gesellschaft. Ingenieurwissenschaften, Naturwissenschaften sowie Geistes- und Sozialwissenschaften bilden den Fächerkanon des KIT. Mit hoher interdisziplinärer Wechselwirkung erschließen sie Themenstellungen von den Grundlagen bis zur Anwendung, von der Entwicklung neuer Technologien bis zur Reflexion des Verhältnisses von Mensch und Technik. Um dies bestmöglich zu erreichen, erstreckt sich die Forschung am KIT über die gesamte Bandbreite: von der Grundlagenforschung bis zu industrienaher, angewandter Forschung, von kleinen Forschungsvorhaben bis zu langfristigen Großforschungsprojekten. Dabei sind wissenschaftliche Redlichkeit und Streben nach Exzellenz Grundlage des Handelns. Weltweiter Austausch, internationale Großforschungsvorhaben, zahlreiche globale Kooperationen sowie kulturelle Vielfalt prägen und bereichern das Leben und Arbeiten am KIT. Der frühzeitige Kontakt mit interdisziplinären Forschungsprojekten, die Einbindung in internationale Teams sowie die Nutzung einmaliger Forschungsanlagen eröffnen den Mitarbeitern besondere Entfaltungs- und Entwicklungsperspektiven.

  Das Entgelt erfolgt auf der Grundlage des Tarifvertrages des öffentlichen Dienstes in der Vergütungsgruppe TV-L E13, sofern die fachlichen und persönlichen Voraussetzungen erfüllt sind.

  Wir streben eine möglichst gleichmäßige Besetzung der Arbeitsplätze mit Beschäftigten (w/m/d) an und würden uns daher insbesondere über Bewerbungen von Frauen freuen. Bei gleicher Eignung werden anerkannt schwerbehinderte Menschen bevorzugt berücksichtigt.

  Ihre aussagekräftige Bewerbung senden Sie bitte in Form einer einzigen PDF-Datei per E-Mail an Herrn [https://cii.aifb.kit.edu/sunyaev.php Prof. Dr. Ali Sunyaev] oder postalisch an:

  Karlsruher Institut für Technologie (KIT)
  Institut AIFB
  Prof. Dr. Ali Sunyaev
  Kaiserstr. 89
  76133 Karlsruhe

  Für fachliche Auskünfte können Sie sich gerne an Herrn [https://cii.aifb.kit.edu/sunyaev.php Prof. Dr. Ali Sunyaev], Herrn [https://cii.aifb.kit.edu/dehling.php Dr. Tobias Dehling] oder Herrn [https://cii.aifb.kit.edu/sturm.php Dr. Benjamin Sturm] wenden. [http://cii.aifb.kit.edu Oder besuchen Sie unsere Forschungsgruppe im Internet].

  
  Research group: Critical Information Infrastructures ([[{{{5}}}/en|{{{5}}}]])
  Description: Sorry, no description available!

• Stellenausschreibung175/en
  Research group: Systems, Data, Simulation & Energy ([[{{{5}}}/en|{{{5}}}]])
  Description: Sorry, no description available!

• Stellenausschreibung178/en
  Research group: Systems, Data, Simulation & Energy ([[{{{5}}}/en|{{{5}}}]])
  Description: Sorry, no description available!

• Stellenausschreibung179/en
  Research group: Systems, Data, Simulation & Energy ([[{{{5}}}/en|{{{5}}}]])
  Description: Sorry, no description available!

• Stellenausschreibung180/en
  Research group: Cooperative Autonomous Systems ([[{{{5}}}/en|{{{5}}}]])
  Description: Sorry, no description available!

• ==Job Description== We are researching the development of modern approaches for highly automated driving. For this purpose, we are integrating machine learning methods such as neural networks into autonomous systems. Such methods must be highly robust against natural influences and targeted attacks. In the project "Safe Mobility" in cooperation with KASTEL, learning methods are to be evaluated on the basis of their safety-critical properties. In your work, you will simulate targeted attacks against learned methods like adversarial attacks and carry them out on our autonomous vehicles. Subsequently, you will increase the robustness of the learning procedures against successful attacks and natural influences.

  Personal Qualifications

  You posess <ul> <li> a very good Master's degree in computer science, electrical engineering, mechanical engineering, mathematics, information systems, business engineering or a related technical or scientific course of study. Candidates, that want to achieve a PhD are preferred. <li> <li> very good programming skills in Python and/or C++<li> <li> excellent theoretical knowledge and practical experience in the field of neural networks and machine learning. <li> <li> very good language skills in German and/or English<li> </ul>

  We offer

  We offer access to autonomous research vehicles and the test field "Autonomous Driving Baden-Württemberg" which enable our research in real road conditions. We also offer an attractive and modern workplace with access to the excellent equipment of the KIT, a varied job, a wide range of training opportunities and flexible working time.

  Additional information

  100% Salary category TV-L E13, depending on the fulfillment of professional and personal requirements.
  For further information, please contact: <ul> <li>Mr. Nikolai Polley, Email: Nikolai Polley∂kit edu</li> <li>Prof. J. Marius Zöllner, Email: Marius Zoellner∂kit edu</li> </ul>

  Application

  Please send your informative application in the form of a single PDF file by e-mail to: Marius Zoellner∂kit edu
  
  We aim to fill the jobs as evenly as possible with employees (f/m/d) and would therefore be particularly pleased to receive applications from women.
  
  In the case of equal suitability, people with recognised severe disabilities will be given preferential consideration.
  Research group: Applied Technical Cognitive Systems ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

• Stellenausschreibung190/en
  Research group: Cooperative Autonomous Systems ([[{{{5}}}/en|{{{5}}}]])
  Description: Sorry, no description available!

• Stellenausschreibung197/en
  Research group: Cooperative Autonomous Systems ([[{{{5}}}/en|{{{5}}}]])
  Description: Sorry, no description available!

• [[Stellenausschreibung204/en|The research group Web Science/en deals with the development and application of artificial intelligence (AI) methods. This includes the semantic representation of knowledge through knowledge graphs, machine learning, and the processing of natural language.

  Your activities include research on methods for decentralized data ecosystems based on the Web architecture, Linked Data, and the Solid protocol family. The use-case in project MANDAT/en (funded by the European Union and the federal ministry for education and research) is from decentralized data ecosystems for financial services. In addition to research work, you will also be active in teaching and you participate in science administration.

  There is the possibility of pursuing a doctorate.

  
  

  Personal qualification

  You have a degree (Master) in Informatics/Computer Science, Information Systems/Business Informatics, or in related fields. Ideally, you have experience in:

  • Knowledge Graphs / semantic technologies
  • Web Architecture
  • Data Management

  and you find some of the following points interesting:

  • Data fiduciaries
  • Financial Services
  • Legal aspects of data processing (GDPR, Data Act, …)
  • Agent Systems
  • Web development
  • Identities
  • Cryptography

  Programming experience is highly advantageous. On top, you can excel using a high level of self-motivation and the ability to work in a team. A very good command of the English language in speech and writing completes your profile. Proficiency in German is very welcome, basic knowledge is required.

  
  

  Salary

  The remuneration occurs on the basis of the wage agreement of the civil service in EG-13, depending on the fulfillment of professional and personal requirements.

  
  

  Starting date

  as soon as possible

  
  

  Contract duration

  limited

  
  

  Contact person in line-management

  For further information, please contact Dr. Tobias Käfer/en.

  
  

  Application

  Please apply with your relevant documents (letter of motivation, curriculum vitae, certificates, if possible with master’s thesis or its draft and GitHub profile). You can hand in your application using KIT's application system. See also the official version of this job ad. The positions are open until filled.
  
  We prefer to balance the number of employees (f/m/d). Therefore, we kindly ask female applicants to apply for this job.
  
  Recognized severely disabled persons will be preferred if they are equally qualified.]]
  Research group: Web Science ([[{{{5}}}/en|{{{5}}}]])
  Description: Sorry, no description available!

• [[Stellenausschreibung205/en|Funded by the German Research Foundation (DFG), the Research Unit "AI-based Methodology for the Fast Maturation of Immature Manufacturing Processes" FOR5339 was recently established at KIT and Fraunhofer institutes.

  The research group Web Science deals with the development and application of artificial intelligence (AI) methods. This includes the semantic representation of knowledge through knowledge graphs, machine learning, and the processing of natural language.

  You will be part of a large, interdisciplinary team from the fields of production engineering and computer science and explore fundamentally new approaches in seven sub-projects to make the complex development phases of new production processes faster, more cost-effective and efficient through the targeted use of AI methods.

  Your activities include research in the field of Semantic Web/Linked Data/Knowledge Graphs for manufacturing. Your work will be to investigate novel methods in order to answer hybrid queries on semantic (i.e. factual) and physical knowledge (as represented in physical models based rooted in differential equations) from asset administration shells and digital twins using AI methods.

  In addition to research work, you are also active in teaching, especially Artificial Intelligence, and you participate in science administration.

  There is the possibility of pursuing a doctorate.

  
  

  Personal qualification

  You have a degree (Master) in Industrial Engineering and Management, Informatics/Computer Science, Business Informatics, or in related fields. Ideally, you have experience in:

  • Semantic Technologies or symbolic Artificial Intelligence
  • Formal Methods to model dynamic systems

  and you are interested in topics including:

  • Manufacturing
  • Question answering
  • Large Language Models
  • Research data management
  • Asset administration shells and digital twins

  Programming experience is highly advantageous. On top, you can excel using a high level of self-motivation and the ability to work in a team. A very good command of the English language in speech and writing completes your profile. Proficiency in German is very welcome.

  
  

  Salary

  The remuneration occurs on the basis of the wage agreement of the civil service in EG-13, depending on the fulfillment of professional and personal requirements.

  
  

  Starting date

  as soon as possible

  
  

  Contract duration

  limited

  
  

  Contact person in line-management

  For further information, please contact Dr. Tobias Käfer.

  
  

  Application

  Please apply with your relevant documents (letter of motivation, curriculum vitae, certificates, if possible with master’s thesis or its draft and GitHub profile). You can hand in your application using KIT's application system. See also the official version of this job ad. The positions are open until filled.
  
  We prefer to balance the number of employees (f/m/d). Therefore, we kindly ask female applicants to apply for this job.
  
  Recognized severely disabled persons will be preferred if they are equally qualified.]]
  Research group: Web Science ([[{{{5}}}/en|{{{5}}}]])
  Description: Sorry, no description available!

• [[Stellenausschreibung206/en|The research group Web Science/en deals with the development and application of artificial intelligence (AI) methods. This includes the semantic representation of knowledge through knowledge graphs, machine learning, and the processing of natural language.

  Your activities include research in the field of symbolic methods for neurosymbolic AI for robotics in a soon-to-be-confirmed research project together with a renowned German AI startup in the field of Large Language Models (LLMs). In addition to research work, you will also be active in teaching and you participate in science administration.

  There is the possibility of pursuing a doctorate.

  
  

  Personal qualification

  You have a degree (Master's/Diploma (University)) in Industrial Engineering and Management, Informatics/Computer Science, Business Informatics, or in related fields. Ideally, you have experience in:

  • Semantic Technologies
  • AI planning

  and you are interested in:

  • Large Language Models
  • Robotics

  Programming experience is highly advantageous. On top, you can excel using a high level of self-motivation and the ability to work in a team. A very good command of the English language in speech and writing completes your profile. Proficiency in German is very welcome.

  
  

  Salary

  The remuneration occurs on the basis of the wage agreement of the civil service in EG-13, depending on the fulfillment of professional and personal requirements.

  
  

  Starting date

  as soon as possible

  
  

  Contract duration

  limited

  
  

  Contact person in line-management

  For further information, please contact Dr. Tobias Käfer/en.

  
  

  Application

  Please apply with your relevant documents (letter of motivation, curriculum vitae, certificates, if possible with master’s thesis or its draft and GitHub profile). You can hand in your application using KIT's application system. See also the official version of this job ad. The positions are open until filled.
  
  We prefer to balance the number of employees (f/m/d). Therefore, we kindly ask female applicants to apply for this job.
  
  Recognized severely disabled persons will be preferred if they are equally qualified.]]
  Research group: Web Science ([[{{{5}}}/en|{{{5}}}]])
  Description: Sorry, no description available!

• Stellenausschreibung211/en
  Research group: Systems, Data, Simulation & Energy ([[{{{5}}}/en|{{{5}}}]])
  Description: Sorry, no description available!

• Stellenausschreibung212/en
  Research group: Cooperative Autonomous Systems ([[{{{5}}}/en|{{{5}}}]])
  Description: Sorry, no description available!

• Stellenausschreibung217/en
  Research group: Systems, Data, Simulation & Energy ([[{{{5}}}/en|{{{5}}}]])
  Description: Sorry, no description available!

• [[Stellenausschreibung22/en|]]
  Research group: Complexity Management ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

• The Karlsruhe Service Research Institute (KSRI, http://www.ksri.kit.edu) is an interdisciplinary team of computer scientists, information managers, industrial engineers and economists, and is one of the leading institutions in Europe in the field of "Service Research". In this context, a position of a Research Assistant / (TV-L, E 13) is open in the research group Knowledge Management led by Prof. Dr. Rudi Studer. The position is intially limited for two years with the option of extension.
  Research group: Web Science ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

• [[Stellenausschreibung34/en|]]
  Research group: Economics and Technology of eOrganizations ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

• As member of the EU project XLike which aims at cross-lingual knowledge extraction from news and social text streams we seek to fill a position for a fully funded (PhD students are hired as Scientific Staff) for two years, with renewal possible. We are seeking applications from individuals with a very good Masters degree (or equivalent) in computer science (or related) and background and research interest in at least one of the topic areas Text Mining, Natural Language Processing, Graph Mining, Statistical Data Analysis, Machine Learning, Semantic Technologies. Further, we require general competencies that qualify you for scientific work, active participation in research projects and assistance in the guidance of students and lecturing. The position requires advanced English language skills. The Knowledge Management research group at the Institute of Applied Informatics and Formal Description Methods (AIFB) is an interdisciplinary team of computer scientists and related disciplines and among the leading international institutions in the field of semantic technologies. KIT is one of the three initial German Excellence Universities, and one of the leading universities in science and engineering in Europe. Our group offers a first class and international research environment with various interdisciplinary but related research topics and projects. The close cooperation with the, Research Center for Information Technology in Karlsruhe (FZI), the Karlsruhe Service Research Institute (KSRI) and a large industry partner network allow for the combination of fundamental and applied research and a fast transfer of research results into practice. For further questions with respect to this position, please contact Achim Rettinger, Email: rettinger∂kit edu For best consideration, please submit your application, preferably electronically as PDF to kuehner∂kit edu
  Research group: Web Science ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

• [[Stellenausschreibung40/en|]]
  Research group: Economics and Technology of eOrganizations ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

• The Knowledge Management research group at the Institute of Applied Informatics and Formal Description Methods (AIFB) is an interdisciplinary team of computer scientists and related disciplines and among the leading international institutions in the field of semantic technologies. In this context, the institute seeks to fill a position for a fully funded Doctoral Researcher / PhD student / Scientific Staff for two years, with renewal possible. We are seeking applications from individuals with a very good Masters degree (or equivalent) and background and interest in at least one of the topic areas Text Mining, Natural Language Processing, Graph Mining, Statistical Data Analysis, Machine Learning. For details see attached pdf.
  Research group: Web Science ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

• The AIFB has initiated the EU-Project RENDER (www.render-project.eu) which aims to provide a comprehensive conceptual framework and technological infrastructure for enabling, supporting, managing and exploiting information diversity in Web-based environments. Among the project partners are Google, Wikipedia and Telefonica. Within this framework our team is inviting applications for a PhD researcher. We seek a PhD researcher with a strong background in Computer Science and Engineering, Information Engineering and Management, Business Engineering, or equivalent qualifications, and focused research interest and expertise in at least one of the following areas: conceptual modeling, information retrieval, information management, semantic technologies, machine learning.
  Research group: Web Science ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

• [[Stellenausschreibung47/en|]]
  Research group: Business Information Systems ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

• [[Stellenausschreibung5/en|]]
  Research group: Efficient Algorithms ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

• Im Rahmen des syncTech Forschungsprojekts, mit Anwendungen im Bereich des technologischen Trend- und Innovations-mining, suchen wir eine/n Vollzeit Doktoranden/Doktorandin / Akademische/n Mitarbeiter/in. Wir erwarten Bewerber mit sehr gutem Master oder Diplom in Informatik oder verwandten Disziplinen und Erfahrung und Forschungsinteresse in mindestens einem der Bereiche Text Mining, Maschinelles Lernen, Information Retrieval oder Wissensmodellierung. Generelle Qualifikationen wie die Fähigkeit wissenschaftlich zu Arbeiten, aktive Mitarbeit in Forschungsprojekten und Unterstützung in der Lehre sind weitere Auswahlkriterien. Die Stelle erfordert sehr gute Sprachkenntnisse in Englisch und Deutsch. Die Forschungsgruppe Wissensmanagement, des Instituts für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB), ist ein interdisziplinäres Team von Informatikern und verwandte Disziplinen und unter den weltweit führenden Einrichtungen im Bereich der Semantischen Technologien. Das KIT ist eine der drei ersten Deutschen Exzellenzuniversitäten und eine der führenden Forschungseinrichtungen der Natur- und Ingenieurswissenschaften in Europa. Unsere Gruppe bietet eine erstklassige Forschungsumgebung mit vielfältigen interdisziplinären aber verwandten Themen und Projekten. Die enge Zusammenarbeit mit den Forschungszentrum Informatik (FZI), dem Karlsruher Service Research Institute (KSRI) und einem großen Netzwerk an Industriepartnern ermöglicht die Kombination von Grundlagenforschung mit angewandter Forschung und deren zügige Umsetzung in die Praxis.
  Research group: Web Science ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

• [[Stellenausschreibung62/en|Die Forschungsgruppe Betriebliche Informationssysteme am Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB) des KIT beschäftigt sich mit Methoden und Werkzeugen für das Business Process Engineering, mit Vorgehensmodellen für das Software Engineering sowie mit der strategischen Planung und Organisation von Informationssystemen in Unternehmen. Zur Verstärkung unseres interdisziplinären Teams suchen wir ab sofort Absolventinnen und Absolventen (Diplom oder Master) des Wirtschaftsingenieurwesens, der Informationswirtschaft, der Informatik oder verwandter Fachrichtungen zur Besetzung mehrerer befristeter Vollzeitstellen in Forschung und Lehre. Wir bieten eine erstklassige Umgebung mit vielfältigen, interessanten Forschungsthemen und -projekten für ein begleitendes Promotionsvorhaben. Aktuelle Themen innerhalb der Forschungsschwerpunkte sind u.a.:

  • Business Process Engineering: Kollaborative Methoden und Werkzeuge; Cloud-Dienste, Big Data, Qualitäts- und Sicherheitsaspekte in Geschäftsprozessen; Mobile Geschäftsprozesse
  • Software Engineering: Methoden und Werkzeuge für die global verteilte Softwareentwicklung; Usability-Engineering; Qualitätsmanagement
  • Informationsmanagement und -systeme: Information Engineering; Social Software; Mobile Anwendungen und Mehrwertdienste; Sicherheitsaspekte in verteilten Informationssystemen

  Die enge Zusammenarbeit mit dem Forschungszentrum Informatik (FZI) sowie verschiedenen Forschungs- und Industriepartnern bietet die idealen Rahmenbedingungen dafür, innovative Ideen grundlegend zu erforschen, diese in einer Laborumgebung umzusetzen, zu erproben und anschließend in der Praxis anzuwenden. Sie sollten Ihr Studium mit überdurchschnittlichem Erfolg abgeschlossen und großes Interesse daran haben, in Forschung und Lehre tätig zu sein. Für diese Tätigkeiten sind sehr gute Sprachkenntnisse in Deutsch und Englisch erforderlich. Zusätzlich erwarten wir Interesse an interdisziplinärer wissenschaftlicher Arbeit, Eigenmotivation und Teamfähigkeit für die aktive und selbständige Mitarbeit in Forschungsprojekten und Lehrveranstaltungen.

  Das Entgelt erfolgt auf der Grundlage des Tarifvertrages des öffentlichen Dienstes (TV-L) in der Entgeltgruppe E13.

  Das KIT legt Wert auf die berufliche Gleichstellung von Frauen und Männern. Wir würden uns daher insbesondere über die Bewerbung von Frauen freuen. Bei entsprechender Eignung werden schwerbehinderte Bewerberinnen und Bewerber bevorzugt berücksichtigt.

  Inhaltliche Anfragen können gerne vorab per E-Mail oder telefonisch erörtert werden. Bewerbungen mit den üblichen Unterlagen sind vorzugsweise elektronisch per E-Mail zu richten an:

  Prof. Dr. Andreas Oberweis
  Institut AIFB - Geb. 05.20
  KIT-Campus Süd
  76128 Karlsruhe
  Telefon: +49 (721) 608-44516
  E-Mail: andreas oberweis∂kit edu
  ]]
  Research group: Business Information Systems ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

• For our EU project XLike which aims at cross-lingual knowledge extraction from news and social-texts streams we seek to fill a position for a fully funded Doctoral Researcher for two years, with renewal possible. Doctoral Researchers are hired as scientific staff. We are seeking applications from individuals with a very good Masters degree (or equivalent) in computer science, math or related disciplines. Background and research interest in at least one of the topic areas Statistical Data Analysis, Machine Learning, Semantic Technologies, Text Mining, Graph Mining is expected, preferably with expertise in Representation, Inference and Learning in Graphical Models. Further, we require general competencies that qualify you for scientific work, active participation in research projects and assistance in the guidance of students and lecturing. The position requires advanced English language skills. The willingness to learn German is expected. Applications should include, but are not limited to, a CV, grades, publications (if any) and statement of research interests. For details see attached document. For the official job advertisement see http://www.pse.kit.edu/downloads/stellenangebote/AIFB_xLiKe-13-02-15-engl.pdf
  Research group: Web Science ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

• For research projects concerned with data integration and analytics (SFB/Transregio 125 ) we seek to fill a position for a fully funded Doctoral Researcher for two years, with renewal possible. Doctoral Researchers are hired as scientific staff. We are seeking applications from individuals with a very good Masters degree (or equivalent) in computer science or related disciplines. Background and research interest in at least one of the topic areas Linked Data, Semantic Technologies, Collaborative Knowledge Management, Graph Mining, Statistical Data Analysis, Machine Learning is expected, preferably with expertise in Entity Resolution and Data Integration. Further, we require general competencies that qualify you for scientific work, active participation in research projects and assistance in the guidance of students and lecturing. The position requires advanced English and basic German language skills. Applications should include, but are not limited to, a CV, grades, publications (if any) and statement of research interests. For details see attached document. For the official job advertisement see http://www.pse.kit.edu/downloads/stellenangebote/AIFB_dataIntegration-13-02-15-engl.pdf
  Research group: Web Science ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

• Several fully funded Doctoral Researchers & one Postdoctoral Researcher position @ Institute AIFB, KIT, Germany. Researchers are hired as scientific staff, for two years, with renewal possible.

  ---

  Position 1 Connected to an upcoming European project, which aims at machine learning of cross-modal knowledge representations from audio, video and text, the researcher might be dedicated to: * Distributional semantics of different modalities * Cross-media retrieval and annotation * Latent representations of multi-modal data

  ---

  Position 2 Connected to the European XLike project, which aims at machine learning of a cross-lingual knowledge representation from multilingual news texts, the researcher might be dedicated to: * Semantic parsing of text from social media * Semantic annotation of statements from multilingual text * Inducing cross-lingual latent representations

  ---

  Position 3 Connected to an upcoming European research project, which aims at developing large scale adaptive methods to enable pervasive modeling, monitoring, and predicting of events from sensors and social media, the researcher might be dedicated to: * Semantic enrichment of data from sensors and different modalities * Learning and inference in dynamic probabilistic models of object-relational domains * Large-scale distributed learning and anytime response algorithms

  ---

  Position 4 Connected to an upcoming European research project, which aims at machine learning of an ontology in the nano-technology domain, the researcher might be dedicated to: * Indexing and monitoring nanotechnology-related text resources * Semantic text annotation and ontology learning * Open information extraction and semantic parsing

  ---

  For detailed information concerning the application documents and procedure, see attached PDF.
  Research group: Web Science ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

• Connected to an upcoming European research project, which aims at developing high-performance large-scale adaptive methods to enable pervasive modeling, monitoring, and predicting of events from sensors and social media, the researcher might be dedicated to: * Semantic enrichment of data from sensors and different modalities * Learning and inference in dynamic probabilistic models of object-relational graphs * Large-scale distributed learning and anytime response algorithms Please see attached pdf for details.
  Research group: Web Science ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

• [[Stellenausschreibung91/en|]]
  Research group: Efficient Algorithms ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

• [[Stellenausschreibung92/en|]]
  Research group: Efficient Algorithms ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

Student Assistants / Tutors

• [[HiWi zum Thema Dienste im Web/en|]]
  Research group: Web Science ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

• [[HiWi zur Unterstützung der Lehre im Bereich Wissensmanagement/en|]]
  Research group: Web Science ([[{{{5}}}/en|{{{5}}}]])
  Description: Sorry, no description available!

• [SFB Hiwi/en|]
  Research group: Web Science ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

• [[1]]
  Research group: Web Science ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

• We are looking for 3 research assistants (m/f/x) to start the earliest possible.
  
  Your tasks: The research assistants will support the scientific staff of the Information Service Engineering (ISE) research group headed by Prof. Dr. Harald Sack working on large open Knowledge Graphs in tasks like data analysis, knowledge modeling, data cleaning, and knowledge mining.
  
  Personal qualification: *We are looking for highly motivated students (Bachelor or Master level) in computer science, industrial engineering, information sciences or similar, preferably at the Karlsruhe Institute of Technology ( KIT ) *Knowledge and experience in the development of software applications, preferably in Python and/or Java *Basic knowledge of Natural Language Processing (NLP), Linked Data Engineering, Information Retrieval and/or Data Science *Basic knowledge in the use of knowledge graphs, such as DBpedia or Wikidata *Ability to quickly learn new topics and tasks *Sufficient language skills in English to work in an international team
  The payment is based on the rates of the state of Baden-Württemberg for academic assistants. The employment is temporary.
  
  Please send your detailed application documents stating the reference number 18/2019 in writing or by e-mail to [https://www.aifb.kit.edu/web/Harald_Sack Harald Sack].
  Research group: Information Service Engineering ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

• Your tasks: The research assistants will support the scientific staff of the Information Service Engineering (ISE) research group working on large open knowledge graphs [1,2] in tasks like data analysis, knowledge modeling, data cleaning, and knowledge mining. [1] http://wiki.dbpedia.org/ [2] https://www.wikidata.org/ Personal qualification: • We are looking for students (Bachelor or Master level) in computer science, industrial engineering, information sciences or similar, preferably at the Karlsruhe Institute of Technology ( KIT ) • Knowledge and experience in the development of software applications, preferably in Python and/or Java • Basic knowledge of Natural Language Processing (NLP), Linked Data Engineering, Information Retrieval and/or Data Science • Basic knowledge in the use of knowledge graphs, such as DBpedia or Wikidata • Ability to quickly familiarize yourself with new topics and tasks • Sufficient language skills in English to work in an international team
  Research group: Information Service Engineering ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

• We (Institute AIFB, Knowledge Management Group) are as of now looking for a student who is proficient in either Python or PHP or at least likes and knows how to program and would be willing to acquire the necessary skills in Python on the job. The task: Help us develop (or advance) tools aimed at solving certain tasks related to Wikipedia. These include for example the accurate detection of authorship and other, data and knowledge mining related tasks. A big advantage is that we are working closely together with Wikimedia Germany and the tools you help to build will most likely be used on a larger scale and have some impact. Also, this job offers superb opportunities to publish and/or develop a final thesis out of this. We need a short mail with a description why you consider yourself fitting for the job as well as a meaningful CV (especially covering coding experience). Work samples are not necessary but helpful. Everything else will be discussed in person. Contact: fabian floeck∂kit edu WWW: http://www.aifb.kit.edu/web/Fabian_Fl%C3%B6ck/en
  Research group: Web Science ([[{{{5}}}/en|{{{5}}}]])
  Description: Sorry, no description available!

• Your tasks: The research assistants will support the scientific staff of the Information Service Engineering (ISE) research group working on large open knowledge graphs [1,2] in tasks like data analysis, knowledge modeling, data cleaning, and knowledge mining. [1] http://wiki.dbpedia.org/ [2] https://www.wikidata.org/ Personal qualification: • We are looking for students (Bachelor or Master level) in computer science, industrial engineering, information sciences or similar, preferably at the Karlsruhe Institute of Technology ( KIT ) • Knowledge and experience in the development of software applications, preferably in Python and/or Java • Basic knowledge of Natural Language Processing (NLP), Linked Data Engineering, Information Retrieval and/or Data Science • Basic knowledge in the use of knowledge graphs, such as DBpedia or Wikidata • Ability to quickly familiarize yourself with new topics and tasks • Sufficient language skills in English to work in an international team The payment is based on the rates of the state of Baden-Württemberg for academic assistants. The employment is temporary. Please send your detailed application documents in by e-mail to: • Prof. Dr. Harald Sack (harald sack∂fiz-karlsruhe de or harald sack∂kit edu ) • Dr. Maria Koutraki (maria koutraki∂fiz-karlsruhe de or maria koutraki∂kit edu )
  Research group: Information Service Engineering ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

• Please see PDF file (in German).
  ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

• [[Stellenausschreibung100/en|]]
  Research group: Web Science ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

• [[Stellenausschreibung102/en|]]
  Research group: Efficient Algorithms ([[{{{5}}}/en|{{{5}}}]])
  Description: Sorry, no description available!

• [[Stellenausschreibung103/en|]]
  Research group: Efficient Algorithms ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

• [[Stellenausschreibung104/en|]]
  Research group: Efficient Algorithms ([[{{{5}}}/en|{{{5}}}]])
  Description: Sorry, no description available!

• [[Stellenausschreibung105/en|]]
  Research group: Efficient Algorithms ([[{{{5}}}/en|{{{5}}}]])
  Description: Sorry, no description available!

• [[Stellenausschreibung106/en|]]
  Research group: Web Science ([[{{{5}}}/en|{{{5}}}]])
  Description: Sorry, no description available!

• [[Stellenausschreibung107/en|]]
  Research group: Web Science ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

• [[Stellenausschreibung108/en|]]
  Research group: Web Science ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

• [[Stellenausschreibung109/en|]]
  Research group: Efficient Algorithms ([[{{{5}}}/en|{{{5}}}]])
  Description: Sorry, no description available!

• See PDF
  Research group: Efficient Algorithms ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

• [[Stellenausschreibung110/en|]]
  Research group: Web Science ([[{{{5}}}/en|{{{5}}}]])
  Description: Sorry, no description available!

• [[Stellenausschreibung111/en|]]
  Research group: Web Science ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

• [[Stellenausschreibung11111/en|]]
  Research group: Web Science ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

• Diverse Abschlussarbeiten und Hiwi Stellen mit dem Anwendungsgebiet in der medizinischen Domäne zu vergeben.
  Research group: Web Science ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

• [[Stellenausschreibung113/en|]]
  Research group: Business Information Systems ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

• Automated, cooperative vehicles have to make decisions in road traffic in a highly dynamic, interacting and incompletely perceptible environment. Previous approaches are usually only considering an egocentric perspective, without considering any cooperative aspects, with or between others. For the prediction and planning of cooperative driving maneuvers, methods for searching and learning are developed which account for the interdependencies of individual traffic participants, as well as model the system states probabilistically. TASKS The project encompasses a variety of tasks among other things we seek support in the following areas. *Learning of cost metrics for driving maneuvers (Inverse Reinforcement Learning) *Learning of behavior models (Deep Reinforcement Learning) *Hyper Parameter Optimization (Baysian Optimization) *Parallelizing of the search method *Description and creation of test scenarios *Inferring cooperative aspects WE OFFER *An interdisciplinary research environment with partners from science and industry *A constructive collaboration with bright, motivated employees *A pleasant working atmosphere WE EXPECT *Ability to implement both state of the art and experimental algorithms *Basic C++ or Python knowledge (C++11, STL, etc.) *Sound English or German skills *High creativity and productivity *Knowledge in the field of artificial intelligence (especially searching and learning), game theory or related areas are a plus *Experiences with methods for searching and learning, e.g. Monte Carlo tree search/Reinforcement Learning are a plus REQUIRED DOCUMENTS *current transcript of records *CV CONTACT Karl Kurzer
  Research group: Applied Technical Cognitive Systems ([[{{{5}}}/en|{{{5}}}]])
  Description: Sorry, no description available!

• [[Stellenausschreibung116/en|]]
  Research group: Business Information Systems ([[{{{5}}}/en|{{{5}}}]])
  Description: Sorry, no description available!

• Die Forschungsgruppe SECUSO (Security, Usability and Society) gehört zum Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB) am Fachbereich Wirtschaftswissenschaften. Im Mittelpunkt unserer Forschung steht der Mensch: wir wollen die menschlichen Faktoren in den Bereichen Sicherheit und Privatsphäre genauer untersuchen. Dabei wollen wir Mechanismen entwickeln, die zum einen die Sicherheit und Privatsphäre der Benutzer adäquat schützen, zum anderen aber auch sehr benutzerfreundlich sind. Darüber hinaus werden Sensibilisierungs- und Schulungsmaßnahmen für diese Thematik entwickelt. Mögliche Aufgabenfelder: * Studienplanung und Erhebung von Nutzerdaten * Eingabe und statistische Auswertung von Daten mit Hilfe von SPSS und/oder R * Recherche von Literatur zu verschiedenen Themen im Bereich IT Security & Privacy * Programmieren von Privacy und Security Maßnahmen * Unterstützung bei Events und Workshops Weitere Details können mit dem Ansprechpartner im Rahmen eines persönlichen Gesprächs erörtert werden. Ihre Voraussetzungen: * unabhängiges, eigenverantwortliches und strukturiertes Arbeiten * Interesse sich in neue und sich stets fortentwickelnde Themen einzuarbeiten * Grundkenntnisse der IT-Sicherheit (wünschenswert, aber nicht zwingend erforderlich) * Erfahrung mit Statistik-Software (z.B. SPSS) oder Programmierkenntnisse (z.B. Java) von Vorteil Wir bieten: * Abwechslungsreiche Arbeit mit starkem Bezug zum realen Nutzer * Interdisziplinarität mit Schnittpunkten von Psychologie, Informatik, Design und HCI * Erfahrung im wissenschaftlichen Arbeiten * Bei hohem Engagement Möglichkeit zur Mitarbeit bei Publikationen Die Tätigkeit kann zum nächstmöglichen Zeitpunkt begonnen werden. Ihre aussagekräftige Bewerbung (Lebenslauf, Zeugnis, kurzes Anschreiben (optional) und gewünschte Stundenanzahl pro Monat) schicken Sie bitte per E-Mail an [mailto:benjamin reinheimer∂kit edu benjamin reinheimer∂kit edu].
  Research group: Security • Usability • Society ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

• [[Stellenausschreibung120/en|]]
  Research group: Web Science ([[{{{5}}}/en|{{{5}}}]])
  Description: Sorry, no description available!

• [[Stellenausschreibung121/en|]]
  Research group: Web Science ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

• [[Stellenausschreibung122/en|]]
  Research group: Web Science ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

• [[Stellenausschreibung125/en|
  

  Aufgaben:

  <ul> <li>Unterstützung bei der Durchführung von Forschungsprojekten rund um die Themen künstliche Intelligenz, Blockchain, Cloud Computing, Digital Health, Information Security / Information Privacy</li> <li>Pflege und Überarbeitung der Website unserer Forschungsgruppe</li> <li>Unterstützung bei der Durchführung von Lehrveranstaltungen</li> <li>Aufbereitung und Erstellung von Vorlesungsfolien und Grafiken</li> </ul>

  
  

  Dein Profil:

  <ul> <li>Sehr gute Deutsch- und Englischkenntnisse in Wort und Schrift</li> <li>Sicherer Umgang mit MS-Office-Anwendungen (Word, Excel, PowerPoint)</li> <li>Einsatzbereitschaft, Selbständigkeit, Kooperationsfähigkeit und Teamgeist</li> </ul>

  
  

  Wir bieten Dir:

  <ul> <li>Spannende Tätigkeiten und Einblicke in verschiedene Forschungsprojekte</li> <li>Mitarbeit an aktuellen Forschungsthemen der Forschungsgruppe</li> <li>40 Stunden / Monat (Dauer: 6 Monate, Verlängerung möglich)</li> </ul>

  
  

  Erforderliche Unterlagen:

  <ul> <li>Anschreiben (max. 1 Seite)</li> <li>Kurzer Lebenslauf (max. 2 Seiten)</li> <li>Auszug der aktuellen Studienleistungen</li> </ul>

  
  

  Sende Deine aussagekräftige Bewerbung unter Angabe der Kennziffer "H2" per E-Mail an Frau Elisabeth Lieder (elisabeth.lieder(at)kit.edu).

  ]]

  
  Research group: Critical Information Infrastructures ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

• We are looking for students who assist us in performing research in the research areas of machine learning, natural language processing, and Semantic Web. What are the typical tasks? • Implementing – under our guidance – novel scientific approaches and demonstration systems (e.g., semantic search systems, recommender systems in combination with knowledge graphs), and creating new data sets for the scientific community. • Running existing software for building up knowledge graphs, performing information extraction on texts, evaluating neural networks, recommending publications for reading or citing, … • Perform data analysis, e.g., on RDF knowledge graphs (DBpedia, Wikidata, …). What prerequisites do you need? • You have fun with working with data, using methods and techniques from machine learning, text mining, data science, etc. • You are interested in state-of-the-art research on machine learning, natural language processing, and/or Semantic Web technologies. • You have at least basic programming skills (e.g., in Python). What do we offer for you? • A contract with 40-80h per month. The salary is 12.36€ per hour (depending on the university degree). The contract can last between 2 and 6 months (option for extension). • Flexible working hours, also working at home possible. • A variety of tasks so that you can learn a lot. Also state-of-the-art research can be performed and will be published together with the student. • If the student likes the work, it can be extended in the form of a Bachelor/Master thesis.
  Research group: Web Science ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

• [[Stellenausschreibung127/en|]]
  Research group: Business Information Systems ([[{{{5}}}/en|{{{5}}}]])
  Description: Sorry, no description available!

• [[Stellenausschreibung128/en|]]
  Research group: Web Science ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

• [[Stellenausschreibung129/en|]]
  Research group: Business Information Systems ([[{{{5}}}/en|{{{5}}}]])
  Description: Sorry, no description available!

• .
  Research group: Web Science ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

• [[Stellenausschreibung130/en|]]
  Research group: Business Information Systems ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

• [[Stellenausschreibung131/en|]]
  Research group: Web Science ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

• [[Stellenausschreibung133/en|]]
  Research group: Business Information Systems ([[{{{5}}}/en|{{{5}}}]])
  Description: Sorry, no description available!

• We are looking for students to assist us in performing research in the areas of machine learning, natural language processing, and scholarly big data.
  Research group: Web Science ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

• [[Stellenausschreibung1338/en|We are looking for a student to assist us in improving and conducting the lecture “Knowledge Discovery” and its accompanying exercise (PDF).]]
  Research group: Web Science ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

• The ATKS department develops computer and server infrastructure to provide various services, such as student workstations, source code management and issue tracking, as well as automated build and deployment systems. To support the team of administrators, a long-term position as student assistant is offered. TASKS The versatile tasks include: * Setting up new systems * Regular software updates * Diagnosis of faulty systems * Administration of network services * Packaging of Debian packages * Minor hardware repairs * and much more WE OFFER *An interdisciplinary research environment with partners from science and industry *A constructive collaboration with bright, motivated employees *A pleasant working atmosphere WE EXPECT *Knowledge and practical experience with Linux *Sound knowledge of English or German *High problem-solving competence *Motivation and commitment *Experience with Python, Git and Apt is an advantage REQUIRED DOCUMENTS *current transcript of records *CV CONTACT Karl Kurzer
  Research group: Applied Technical Cognitive Systems ([[{{{5}}}/en|{{{5}}}]])
  Description: Sorry, no description available!

• We are looking for a motivated student assistant for the daily tasks in the area of teaching and research. TASKS The versatile tasks include: * Support in preparation and follow-up of courses (lecture, exercise, labs) * Support in the preparation and follow-up of written exams * Support with administrative tasks * Literature research * etc. WE OFFER *An interdisciplinary research environment with partners from science and industry *A constructive collaboration with bright, motivated employees *A pleasant working atmosphere WE EXPECT *Sound knowledge of English or German *Motivation and commitment REQUIRED DOCUMENTS *current transcript of records *CV CONTACT Karl Kurzer
  Research group: Applied Technical Cognitive Systems ([[{{{5}}}/en|{{{5}}}]])
  Description: Sorry, no description available!

• We are looking for students who assist us in performing research in the research areas of machine learning, natural language processing, and Semantic Web.
  
  
  What are the typical tasks?
  • Implementing – under our guidance – novel scientific approaches and demonstration systems (e.g., semantic search systems, recommender systems in combination with knowledge graphs), and creating new data sets for the scientific community.
  • Running existing software for building up knowledge graphs, performing information extraction on texts, evaluating neural networks, recommending publications for reading or citing, …
  • Perform data analysis, e.g., on RDF knowledge graphs (DBpedia, Wikidata, …).
  
  
  What prerequisites do you need?
  • You are not afraid of working with data and running code for machine learning, text mining, etc.
  • You are interested in state-of-the-art research on machine learning, natural language processing, and/or Semantic Web technologies.
  • You have at least basic programming skills (e.g., in Python).
  
  
  What do we offer for you?
  • A contract with 40-80h per month. The salary is 12.36€ per hour (depending on the university degree). The contract can last between 2 and 6 months (option for extension).
  • Flexible working hours, also working at home possible.
  • A variety of tasks so that you can learn a lot. Also state-of-the-art research can be performed and will be published together with the student.
  • If the student likes the work, it can be extended in the form of a Bachelor/Master thesis.
  
  
  Starting date: As soon as possible. Also later applications (in some months) are welcome.
  Research group: Web Science ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

• Our research group is looking for motivated students to support us with the preparation of teaching material for our lecture on Process Mining.
  Research group: Business Information Systems ([[{{{5}}}/en|{{{5}}}]])
  Description: Sorry, no description available!

• [[Stellenausschreibung139/en|]]
  Research group: Web Science ([[{{{5}}}/en|{{{5}}}]])
  Description: Sorry, no description available!

• [[Stellenausschreibung14/en|]]
  Research group: Complexity Management ([[{{{5}}}/en|{{{5}}}]])
  Description: Link

• See German website (German language skills are required).
  Research group: Business Information Systems ([[{{{5}}}/en|{{{5}}}]])
  Description: Sorry, no description available!

• Das ZKM Zentrum für Kunst und Medien wurde 1989 mit der Aufgabe gegründet, die klassischen Künste ins digitale Zeitalter fortzuschreiben. Im Rahmen des Projekts »As We May Speak« entwickelt das ZKM einen Chatbot für die kulturelle Wissensvermittlung – der Austausch mit der Öffentlichkeit soll dialogischer, individueller und einfacher werden. Der Chatbot soll auf den gängigen Messaging-Plattformen, über die Website sowie auf Terminals im ZKM verfügbar sein. Das ZKM reagiert damit auf einen technischen Paradigmenwechsel: die Verbreitung von Conversational User Interfaces (CUI). Mit dieser Entwicklung sollen aktuelle ML Ansätze evaluiert werden, die eine Dialogführung ermöglichen, die über die Fähigkeiten eines einfachen ServiceBots hinausgehen. Im Zuge des Projekts erfolgt die Optimierung der im ZKM vorliegenden Daten im Hinblick auf ihre Maschinenlesbarkeit, wodurch auch Grundlagen für künftige digitale Projekte geschaffen werden. Aufgaben: Unterstützung bei der Entwicklung des Chatbot Backends Unterstützung bei der Entwicklung des Chatbot Frontends Evaluation von verschiedenen ML Techniken für Question-Answering und Text-Generierung (GTP-2, BERT, Transformer-XL, ...) Aufarbeitung der verteilten Daten aus unterschiedlichen Quellen Profil: Gute Python-Kenntnisse Kenntnisse im Bereich Webentwicklung Gute Linux Kenntnisse Anfragen bitte an chatbot∂zkm de und michael faerber∂kit edu
  Research group: Web Science ([[{{{5}}}/en|{{{5}}}]])
  Description: Sorry, no description available!

• FIZ Karlsruhe – Leibniz Institute for Information Infrastructure is one of the leading provider for scientific information and services and a member of the Leibniz Association. The goal of FIZ Karlsruhe is not only to provide professional research and patent information to researchers and industry but also the development of innovative services in the field of scientific information infrastructure. It thereby carries out independent research projects and cooperates with renowned universities and research companies. FIZ Karlsruhe is a private company and recognized organization of public interest and one of the largest non-university information infrastructure facilities in Germany. We are looking for 3 research assistants (m/f/x) for our location in Karlsruhe to start the earliest possible. Your tasks: The research assistants will support the scientific staff of the Information Service Engineering (ISE) research group headed by Prof. Dr. Harald Sack working on large open Knowledge Graphs in tasks like data analysis, knowledge modeling, data cleaning, and knowledge mining. Personal qualification: *We are looking for highly motivated students (Bachelor or Master level) in computer science, industrial engineering, information sciences or similar, preferably at the Karlsruhe Institute of Technology ( KIT ) *Knowledge and experience in the development of software applications, preferably in Python and/or Java *Basic knowledge of Natural Language Processing (NLP), Linked Data Engineering, Information Retrieval and/or Data Science *Basic knowledge in the use of knowledge graphs, such as DBpedia or Wikidata *Ability to quickly learn new topics and tasks *Sufficient language skills in English to work in an international team The payment is based on the rates of the state of Baden-Württemberg for academic assistants. The employment is temporary. Please send your detailed application documents to [https://www.aifb.kit.edu/web/Harald_Sack Harald Sack].
  Research group: Information Service Engineering ([[{{{5}}}/en|{{{5}}}]])
  Description: Sorry, no description available!

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