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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

Stellenausschreibung177/en
Research group: Systems, Data, Simulation & Energy (Sanja Lazarova-Molnar)
Description: Sorry, no description available!

Stellenausschreibung196/en
Research group: Cooperative Autonomous Systems (Alexey Vinel)
Description: Sorry, no description available!



PhD-Students / Research Associates

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 (J. Marius Zöllner)
Description: Link

Stellenausschreibung178/en
Research group: Systems, Data, Simulation & Energy (Sanja Lazarova-Molnar)
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
  • 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.
  • very good programming skills in Python and/or C++
  • excellent theoretical knowledge and practical experience in the field of neural networks and machine learning.
  • very good language skills in German and/or English

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:
  • Mr. Nikolai Polley, Email: Nikolai Polley∂kit edu
  • Prof. J. Marius Zöllner, Email: Marius Zoellner∂kit edu

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 (J. Marius Zöllner)
Description: Link

Stellenausschreibung197/en
Research group: Cooperative Autonomous Systems (Alexey Vinel)
Description: Sorry, no description available!



Student Assistants / Tutors

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 (Michael Färber)
Description: Link

We are looking for a student who will assist us in the development of an institute-wide Website, Front-End as well as Back-End development and related research. What are the typical tasks? • Implementing – under our guidance – novel features into our websites and other applications • Creating (small) front-end applications for demonstrations • Applying security patches, SEO techniques, Stability Testing • Semi-regularly updating a website with current and upcoming events • Server monitoring, Code Refactoring. What prerequisites do you need? • You enjoy technical and implementation work on webservers and seeing your work have an impact on a large audience • You have an independent & knowledge-hungry mindset, and feel at ease diving into code to understand interconnections • Some experience among some of the following: HTML, PHP, SQL, Docker, Mediawiki, Bootstrap, Unix-based Systems, Git, SSH, CI/CD • Programming skills (e.g., Python, Java) are also a plus. What do we offer for you? • A contract with 40-80h per month. The salary is ca. 15€ 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. • Insight into a diverse technical ecosystem you may learn a lot from. • State-of-the-art research can be performed and will be published e.g. at conferences together with the supervisor. Starting date: As soon as possible. Also later applications (in some months) are welcome. Please send your questions and application (with a short CV and a transcript of records) per email to Kristian Noullet
Research group: Web Science (Kristian Noullet)
Description: Link

Die Forschungsgruppe SECUSO (Security, Usability and Society) gehört zum Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB) an der KIT-Fakultät für 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.

Eine der Forschungsaufgaben von SECUSO ist die Entwicklung von Handlungsempfehlungen für benutzerfreundliche Sicherheits- und Privatsphäre schützende Maßnahmen. Dazu hat SECUSO eigene Tools wie etwa PassSec+ entwickelt. PassSec+ ist eine von SECUSO selbst entwickelte Browser Extension (Add-on), welche den Nutzer vor der Eingabe von sensiblen Daten auf Webseiten in geeigneter Weise warnt, noch bevor er diese eingibt. Dieses Tool soll nach neusten Erkenntnissen und in Vorbereitung zur Evaluation in Nutzerstudien stets weiterentwickelt werden. Dabei brauchen wir Deine Unterstützung!
Research group: Security • Usability • Society (Maxime Veit)
Description: Link

Job Description: The research assistants will support the scientific staff of the Information Service Engineering (ISE) research group working on large open Knowledge Graphs in tasks like data analysis, knowledge modelling, data cleaning and knowledge mining. Qualifications and Skills: 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)

The payment is based on the rates of the state of Baden-Württemberg for academic assistants. The employment is temporary. Information Service Engineering (ISE) at FIZ Karlsruhe investigates models and methods for efficient semantic indexing, aggregation, linking and retrieval of comprehensive heterogeneous and distributed data sources. To this end, both statistical and linguistic analysis methods (NLP) as well as machine learning in combination with symbolic logic are applied. ISE research relies and extends on knowledge representation standards developed for the Semantic Web. ISE research application areas include but are not limited to solutions for knowledge extraction, semantic annotation, semantic and exploratory search, as well as recommender systems and question answering. Besides basic methodological research, domains of applied ISE research are, amongst others, cultural heritage, digital humanities, materials science, and research data management.  FIZ Karlsruhe - Leibniz Institute for Information Infrastructure is one of the leading providers of scientific information and services and a member of the Leibniz Association. Our core tasks are the professional provision of research and patent information to science and industry as well as the development of innovative information infrastructures, e.g., with a focus on research data management, knowledge graphs and digital platforms. To this end, we conduct our own research, cooperate with renowned universities and research societies, and are internationally and interdisciplinarily networked. FIZ Karlsruhe is a limited liability company with a non-profit character and one of the largest non-university institutions of its kind.
Research group: Information Service Engineering (Harald Sack)
Description: Sorry, no description available!

We are looking for students who assist us with research in the areas of wake vortex detection, in cooperation with Deutsches Zentrum für Luft- und Raumfahrt. Background Wake turbulence are pairs of turbulence generated by aircraft while taking off. Flying into wake turbulence can destabilize an aircraft during landing and cause go-around. Thus, minimum distance between landing aircraft is prescribed. To make most use of airports’ capacity and ensure environmental sustainability, we will utilize deep neural network to detect wake turbulence. What prerequisites do you need? •Solid programming skills (e.g. Python). •Strong foundation in machine learning, deep learning or artifitial intelligence. •Experience in LiDAR data is a plus. What do we offer for you? •A contract with 20-80h per month (the salary depends on the university degree). The contract can last between 2 and 6 months. •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.
Research group: Web Science (Michael Färber, Shuzhou Yuan)
Description: Link

The research assistants will support the scientific staff of the Systems, Data, Simulation & Energy (SYDSEN) research group. The SYDSEN research group concentrates on 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. The positions are linked to our project ONE4ALL (Horizon Europe 2022), which aims to boost manufacturing plants’ transformation, especially SMEs, towards industry 5.0 (I5.0), reinforcing their resilience under unexpected changes in social needs. Our part in this project is the digital replication of the physical modules and processes through data-driven digital twins and controlled by a self-learning AI-based distributed and multidisciplinary decision support system (DSS). The tasks include: • Gathering data requirements and linking them to objectives • Working on developing an architecture for digital twins of manufacturing systems • Regular communication with project partners and demonstrators (manufacturing facilities) • Implementing a proof of concept for the above tasks • Documenting all tasks and outcomes Qualifications and Skills: 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 Internet of Things (IoT) devices, Information Extraction and/or Data Science • Experience and knowledge in modeling, simulation, digital twins and manufacturing systems is a plus • Willingness and ability to communicate with project partners of different backgrounds • Sufficient language skills in English to work in an international team We offer: • A contract with 20-80h per month (the salary depends on the university degree). The contract can last between 2 and 6 months. • 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. The payment is based on the rates of the state of Baden-Württemberg for academic assistants. The employment is temporary. Please send your application via email to sanja lazarova-molnar∂kit edu using the job posting number "S1".
Research group: Systems, Data, Simulation & Energy (Sanja Lazarova-Molnar)
Description: Sorry, no description available!

=== Aufgaben ===


Wir bieten:

  • Spannende Tätigkeiten und Einblicke rund um das Thema autonomes Fahren
  • Mitarbeit an aktuellen Forschungsthemen der Forschungsgruppe
  • Bis zu 40 Stunden / Monat (Dauer: 6 Monate, Verlängerung möglich)

Wir erwarten:

  • Erste Erfahrungen im Programmieren
  • Sehr gute Deutsch- oder Englischkenntnisse in Wort und Schrift
  • Einsatzbereitschaft, Selbständigkeit, Kooperationsfähigkeit und Kreativität

Erforderliche Unterlagen:

  • Anschreiben (3-4 Sätze)
  • Kurzer Lebenslauf (max. 2 Seiten)
  • Auszug der aktuellen Studienleistungen

Bewerbungen bitte unter Angabe „Flutter-Entwicklung“ im Betreff per E-Mail an [mailto:helen schneider∂kit edu helen schneider∂kit edu] .
Research group: Applied Technical Cognitive Systems (Helen Schneider)
Description: Link

=== Aufgaben ===


Wir bieten:

  • Spannende Tätigkeiten und Einblicke rund um das Thema autonomes Fahren
  • Mitarbeit an aktuellen Forschungsthemen der Forschungsgruppe
  • Bis zu 40 Stunden / Monat (Dauer: 6 Monate, Verlängerung möglich)

Wir erwarten:

  • Erste Erfahrungen im Programmieren
  • Sehr gute Deutsch- oder Englischkenntnisse in Wort und Schrift
  • Einsatzbereitschaft, Selbständigkeit, Kooperationsfähigkeit und Kreativität

Erforderliche Unterlagen:

  • Anschreiben (3-4 Sätze)
  • Kurzer Lebenslauf (max. 2 Seiten)
  • Auszug der aktuellen Studienleistungen

Bewerbungen bitte unter Angabe „Python-Entwicklung“ im Betreff per E-Mail an [mailto:helen schneider∂kit edu helen schneider∂kit edu] .
Research group: Applied Technical Cognitive Systems (Helen Schneider)
Description: Link

We are looking for dedicated and qualified students who would like to work as tutors for the course "Applications of Artificial Intelligence" in the winter semester 2023/24. If you have successfully completed the course and have extensive knowledge and experience in this field, you have the opportunity to share your knowledge and help other students in understanding the concepts of artificial intelligence and developing practical applications. As a tutor for "Applications of Artificial Intelligence" in the winter semester 23/24, you will be able to offer individual support to the students, address their questions, and create a tailored learning environment. You can flexibly manage your schedule and deepen your expertise in this exciting field. If you are interested in working as a tutor for the course "Applications of Artificial Intelligence" in the winter semester 23/24, please send an email with your CV and transcript of records to: shuzhou yuan∂kit edu
Research group: Web Science (Shuzhou Yuan)
Description: Sorry, no description available!


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