Semantische Suche
-
The research assistant will support the scientific staff of the [https://www.aifb.kit.edu/web/Systems,_Data,_Simulation_%26_Energy/en Systems, Data, Simulation & Energy (SYDSEN)] and [https://www.aifb.kit.edu/web/Cooperative_Autonomous_Systems/en Cooperative Autonomous Systems (CAS)] research groups on the [https://aifb.kit.edu/web/Project_Tyre_Road_Noise Project Tyre Road Noise: Data-based study of effects on controlled and real drive noise emission] , funded by the [https://bmdv.bund.de/SharedDocs/DE/Artikel/DG/mfund-projekte/tyron.html German Federal Ministry of Digital and Transport, BMDV] . We specialize in WP6 of the project, dedicated to the preparation and advancement of (AI) methodologies, focusing on research in statistical and machine learning techniques for noise modeling and analysis of determinants. Moreover, our research endeavors will extend to simulation methodologies, e.g., agent-based simulation. The tasks include: • Research on quantitative methods for road traffic noise modeling • Reviewing literature relevant to the project and the research that we do • Implementing proofs of concept for the above tasks • Communication with project partners and demonstrators • Documenting all tasks and outcomes Qualifications and Skills: We seek highly motivated Bachelor or Master students in computer science, industrial engineering, statistics and econometrics, or related fields, preferably at KIT. • Proficiency in Python and R, and readiness to learn other programming languages as needed • Basic understanding of data science • Bonus: familiarity with time series analysis, transportation science, simulation and modeling • Strong communication skills for collaboration with diverse project partners • Adequate English language proficiency for international teamwork We offer: • A part-time contract offering 30 to 60 hours per month, with salary tailored to the level of educational attainment. The initial contract duration is flexible, ranging from 3 to 6 months, with high likelihood 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. How to apply: Please send your application to min-bin.lin@kit.edu with the following information: • CV / Resume (max. 2 pages) • List of courses or workshops taken The payment is based on the rates of the state of Baden-Württemberg for academic assistants. The employment is temporary.
(Min-Bin Lin)
Description: Link -
The research assistant will support the scientific staff of the [https://www.aifb.kit.edu/web/Systems,_Data,_Simulation_%26_Energy/en Systems, Data, Simulation & Energy (SYDSEN)] and [https://www.aifb.kit.edu/web/Cooperative_Autonomous_Systems/en Cooperative Autonomous Systems (CAS)] research groups on the [https://aifb.kit.edu/web/Project_Tyre_Road_Noise Project Tyre Road Noise: Data-based study of effects on controlled and real drive noise emission] , funded by the [https://bmdv.bund.de/SharedDocs/DE/Artikel/DG/mfund-projekte/tyron.html German Federal Ministry of Digital and Transport, BMDV] . We specialize in WP6 of the project, dedicated to the preparation and advancement of (AI) methodologies, focusing on research in statistical and machine learning techniques for noise modeling and analysis of determinants. Moreover, our research endeavors will extend to simulation methodologies, e.g., agent-based simulation. The tasks include: • Research on quantitative methods for road traffic noise modeling • Reviewing literature relevant to the project and the research that we do • Implementing proofs of concept for the above tasks • Communication with project partners and demonstrators • Documenting all tasks and outcomes Qualifications and Skills: We seek highly motivated Bachelor or Master students in computer science, industrial engineering, statistics and econometrics, or related fields, preferably at KIT. • Proficiency in Python and R • Basic understanding of data science • Bonus: familiarity with time series analysis, transportation science • Strong communication skills for collaboration with diverse project partners • Adequate English language proficiency for international teamwork We offer: • A part-time contract offering 30 to 60 hours per month, with salary tailored to the level of educational attainment. The initial contract duration is flexible, ranging from 3 to 6 months, with high likelihood 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. The payment is based on the rates of the state of Baden-Württemberg for academic assistants. The employment is temporary.
Research group: Systems, Data, Simulation & Energy (Min-Bin Lin)
Description: Sorry, no description available! -
The research assistant will support the scientific staff of the [https://www.aifb.kit.edu/web/Systems,_Data,_Simulation_%26_Energy/en Systems, Data, Simulation & Energy (SYDSEN)] and [https://www.aifb.kit.edu/web/Cooperative_Autonomous_Systems/en Cooperative Autonomous Systems (CAS)] research groups on Trajectory Data Mining for Autonomous Vehicle Test Drives, in collaboration with [https://www.astazero.com AstaZero]. AstaZero is a non-profit organ-ization indirectly owned by the Swedish government, dedicated to conducting independent testing, verification, and certification for its customers. We aim to analyze the test run data including a range of autonomous vehicles and investigate on driving behaviors and patterns. The tasks include: • Research on quantitative methods for trajectory data • Data storytelling and visualization • Reviewing literature relevant to the project and the research that we do • Implementing proofs of concept • Communication with project partners and demonstrators • Documenting all tasks and outcomes Qualifications and skills: We seek highly motivated Bachelor or Master students in computer science, industrial engineering, statistics and econometrics, geomatics, or related fields, preferably at KIT. • Proficiency in Python and R, and readiness to learn other programming languages as needed • Basic understanding of data science • Bonus: familiarity with transportation science, autonomous driving • Strong communication skills for collaboration with diverse project partners • Adequate English language proficiency for international teamwork We offer: • A part-time contract offering 40 to 80 hours per month, with salary tailored to the level of educa-tional attainment. The initial contract duration is flexible, ranging from 3 months to beyond, with high likelihood 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. How to apply: Please send your application to min-bin.lin@kit.edu with the following information: • CV / Resume (max. 2 pages) • List of courses or workshops taken The payment is based on the rates of the state of Baden-Württemberg for academic assistants. The employment is temporary.
Research group: Cooperative Autonomous Systems (Min-Bin Lin; Jianxin Zhao)
Description: Link -
We are seeking dedicated student assistants to join us in an ambitious research project focused on advancing the field of academic recommendation networks through the integration of large language models and graph message passing networks. The project aims to revolutionize how we predict and understand linkages within academic citation networks.
Research group: Web Science (Chen Shao)
Description: Link -
Improving text features is a fundamental aspect of academic recommendation networks. Within academic citation networks, it’s essential to grasp the essence of texts, assess the innovativeness of new documents, and uncover connections between texts. Existing relationship predictions mostly rely on using Bag of Words (BoW)[3] to extract text features, which cannot comprehend and extract concept-level text features based on understanding. However, for text citation networks, comprehension is a necessary algorithmic capability, especially when the citation data itself contains some noisy and missing links. Besides, it also enables the generation of human-readable interpretations for error analysis and optimization of the datasets. However, recent works have indicated that there is a certain trade-off between the effective utilization of features and the effective utilization of structural features [4]. In other words, relationship prediction algorithms based on message passing algorithms can either fully extract structural features or efficiently utilize node features, but not both simultaneously. Therefore, in this project, our aim is to delve deeply into the maximum accuracy achievable by these two strategies: namely, utilizing language models exclusively and relying solely on the structural characteristics of graphs for relationship prediction.
Research group: Web Science (Chen Shao)
Description: Link -
Improving text features is a fundamental aspect of academic recommendation networks. Within academic citation networks, it’s essential to grasp the essence of texts, assess the innovativeness of new documents, and uncover connections between texts. Existing relationship predictions mostly rely on using Bag of Words (BoW)[3] to extract text features, which cannot comprehend and extract concept-level text features based on understanding. However, for text citation networks, comprehension is a necessary algorithmic capability, especially when the citation data itself contains some noisy and missing links. Besides, it also enables the generation of human-readable interpretations for error analysis and optimization of the datasets. However, recent works have indicated that there is a certain trade-off between the effective utilization of features and the effective utilization of structural features [4]. In other words, relationship prediction algorithms based on message passing algorithms can either fully extract structural features or efficiently utilize node features, but not both simultaneously. Therefore, in this project, our aim is to delve deeply into the maximum accuracy achievable by these two strategies: namely, utilizing language models exclusively and relying solely on the structural characteristics of graphs for relationship prediction.
Research group: Web Science (Chen Shao)
Description: Link -
The Cooperative Autonomous Systems research group focuses on connected and autonomous vehicles and vulnerable road users. We research the latest technologies and methods to improve road safety. In this work we are also interested in connected robots that can communicate with autonomous vehicles and interact with vulnerable road users. You can support us as a student assistant and learn about the latest technologies and get an insight into research. Your tasks are: - Assembling hardware components (Arduino, robot e.g. turtlebot3/ARI, R-Pi etc.) - Supporting the implementation of user studies (Human-Robot Interaction, Virtual/Augmented Reality) - Extending software components (e.g. Python, C, ROS(2) and Unity) - Testing of applications (e.g. deployment of multiple mobile robots ) - Contributing your own ideas or assisting with brainstorming. You should be motivated and have an interest in new technologies as well as the automotive industry. Previous knowledge of any programming language as well as basic hardware knowledge is an advantage. In return we offer you: - Flexible working hours - Industry and research related activities - Contribution to publications - Working with the latest technologies - Coffee and great colleagues Have we sparked your interest in Vision Zero? Then send an email to Manuel Bied to find out more.
Research group: Cooperative Autonomous Systems (Manuel Bied)
Description: Link -
We are looking for a student (m/f/d) to assist us with software development tasks, especially web development and Python scripting.
Tasks
<ul> <li>Conception and implementation of web backend and frontend applications.</li> <li>Implementation of tooling and scripts for data processing in a scientific context</li> <li>Implementation of state-of-the-art (deep) machine learning algorithms.</li> </ul>
What we offer
<ul> <li>Professional supervision</li> <li>Exciting tasks and insights on the topic of autonomous driving</li> <li>Up to 40 hours per month (up to 6 months, can be extended)</li> </ul>
What we expect
<ul> <li>Practical experience with Python</li> <li>Practical experience with JavaScript / TypeScript (as well as HTML and CSS)</li> <li>Practical experience with a JavaScript-based frontend framework (preferably Vue.js)</li> <li>Basic understanding and best practices in software architecture / design</li> <li>Basic understanding of machine learning techniques, especially neural networks</li> <li>Optional: Experience with container technologies (Docker) and Linux</li> <li>Willingness and ability to acquire new technical knowledge</li> </ul>
Required documents
<ul> <li>Cover letter (3-4 sentences)</li> <li>Brief CV (max. 2 pages)</li> <li>Excerpt of latest academic achievements</li> </ul>
Research group: Applied Technical Cognitive Systems (Ferdinand Mütsch)
Description: Link -
We are looking for a student (m/f/d) to assist with the administration of workstations and servers!
Tasks
<ul> <li>Maintenance of student workstations (soft- and hardware)</li> <li>Automation of administrative tasks using scripts</li> <li>Support with design and implementation of migrating to a new authentication system</li> <li>Support with design and configuration of a multi-node container virtualization platform</li> </ul>
What we offer
<ul> <li>Professional supervision</li> <li>Exciting tasks and insights on the topic of autonomous driving</li> <li>Up to 40 hours per month (up to 6 months, can be extended)</li> </ul>
What we expect
<ul> <li>Proficiency with Linux / system administration</li> <li>Sound understanding of (TCP/IP-based) computer networks</li> <li>Experience in scripting with Python and Bash</li> <li>Experience with Docker or similar</li> <li>Willingness and ability to acquire new technical knowledge</li> <li>Optional: experience with Ansible</li> <li>Optional: experience with LDAP / AD and similar technologies</li> </ul>
Required documents:
<ul> <li>Cover letter (3-4 sentences)</li> <li>Brief CV (max. 2 pages)</li> <li>Excerpt of latest academic achievements</li> </ul>
Research group: Applied Technical Cognitive Systems (Ferdinand Mütsch)
Description: Link -
[[Stellenausschreibung23/en|]]
Research group: Web Science (Sudhir Agarwal)
Description: Sorry, no description available! -
[[Stellenausschreibung234/en|]]
Research group: Web Science (Anna Nguyen)
Description: Link -
[[Stellenausschreibung236/en|]]
Research group: Web Science (Tobias Weller)
Description: Link -
[[Stellenausschreibung24/en|]]
Research group: Web Science (Benedikt Kämpgen)
Description: Link -
The position concerns the further development of Semantic MediaWiki towards enhanced support for collaboration knowledge management tasks at Wikipedia. Relevant tasks include PHP and JavaScript programming for SMW as well as various Internet and literature surveys in the areas of information and knowledge management supporting the development work.
Research group: Web Science (Elena Simperl)
Description: Link -
[[Stellenausschreibung27/en|]]
Research group: Web Science (Carolin Michels)
Description: Link -
[[Stellenausschreibung276/en|]]
Research group: Web Science (Tobias Weller)
Description: Link -
[[Stellenausschreibung28/en|]]
(Daniel Sommer)
Description: Link -
[[Stellenausschreibung29/en|]]
Research group: Web Science (Andreas Wagner)
Description: Link -
[[Stellenausschreibung291/en|]]
Research group: Web Science (Tobias Weller)
Description: Link -
[[Stellenausschreibung30/en|]]
Research group: Web Science (Philipp Sorg)
Description: Link -
[[Stellenausschreibung31/en|]]
Research group: Business Information Systems (Daniel Eichhorn)
Description: Link -
[[Stellenausschreibung32/en|]]
Research group: Business Information Systems (Stefanie Betz)
Description: Link -
Für aktuelle Forschungsprojekte im Bereich Semantic Services suchen wir engagierte Studentinnen und Studenten, die Interesse an der Entwicklung der Methoden zur Beschreibungen der Geschäftsprozessen haben. Gefordert sind leistungsstarke Studenten/-innen, die folgende Kenntnisse besitzen: Fortgeschrittene Kenntnisse in Java Programmierung Grundkenntnisse der Web Programmierung und Ontologien
Research group: Web Science (Julia Hoxha)
Description: Link -
[[Stellenausschreibung35/en|]]
Research group: Efficient Algorithms (Pradyumn Kumar Shukla)
Description: Link -
[[Stellenausschreibung36/en|]]
Research group: Business Information Systems (Agnes Koschmider)
Description: Link -
[[Stellenausschreibung38/en|]]
Research group: Web Science (Carolin Michels)
Description: Link -
[[Stellenausschreibung39/en|]]
Research group: Business Information Systems (Susan Hickl)
Description: Sorry, no description available! -
[[Stellenausschreibung42/en|]]
Research group: Web Science (Fabian Flöck)
Description: Link -
[[Stellenausschreibung44/en|]]
Research group: Business Information Systems (Meike Ullrich)
Description: Link -
Das Institut AIFB sucht eine/-n Student/-in für eine Anstellung als wissenschaftliche Hilfskraft für das Forschungsprojekt iGreen Im Rahmen des Forschungsprojekts iGreen wird ein/-e engagierte/r Student/-in gesucht, die/der an der Entwicklung einer wissensbasierten Infrastruktur mitwirken möchte. Mit Projektpartnern aus Industrie und Forschung soll innerhalb eines Forschungsteams an der Entwicklung einer Plattform gearbeitet werden, die Erkenntnisse aus den folgenden Forschungsfeldern realisiert: * Hybride, Semantische Suche * Semantic Data Management Wünschenswert sind daher Kenntnisse in und Interesse für * Objektorientierte Programmierung mit Java * Semantic Web Technologien Die Arbeit als wissenschaftliche Hilfskraft erfordert sowohl selbstständiges und eigenverantwortliches Arbeiten als auch Teamfähigkeit und Kooperationsbereitschaft. Kenntnisse in den entsprechenden Bereichen sind wünschenswert aber nicht zwingend erforderlich. Der geplante Umfang des Arbeitsvertrages beträgt 30-50 Stunden pro Monat. Eine längerfristige Zusammenarbeit ist gerne möglich. Bei weiterem Interesse wenden Sie sich an: Daniel Herzig oder
Günter Ladwig
Institut AIFB, KIT
Email: herzig@kit.edu Ladwig@kit.edu
Telefon: 0721 / 608 – 47946
http://www.igreen-projekt.de
Research group: Web Science (Daniel M. Herzig)
Description: Link -
[[Stellenausschreibung46/en|]]
Research group: Web Science (Basil Ell)
Description: Link -
[[Stellenausschreibung48/en|]]
Research group: Economics and Technology of eOrganizations (Michael Menzel)
Description: Sorry, no description available! -
[[Stellenausschreibung49/en|]]
Research group: Economics and Technology of eOrganizations (Michael Menzel)
Description: Sorry, no description available! -
In cooperation with Yahoo! Research, we are developing an advanced cloud benchmarking toolkit, based on Yahoo! Cloud Serving Benchmark tool (YCSB). You can help us with software development and commit your contribution to the open source project.
Research group: Economics and Technology of eOrganizations (Markus Klems)
Description: Sorry, no description available! -
We develop a Cloud Tuning Toolkit for scalable and fault-tolerant cloud environments on the basis of open source Platform-as-a-Service stacks by VMware and Red Hat, plus technologies by Facebook, 10gen, Zynga, and others. You can help us developing these tools and commit your contributions as open source code.
Research group: Economics and Technology of eOrganizations (Markus Klems)
Description: Sorry, no description available! -
See German version or contact directly if your happy to do some coding.
Research group: Economics and Technology of eOrganizations (Robin Fischer)
Description: Sorry, no description available! -
[[Stellenausschreibung54/en|]]
(Daniel Sommer)
Description: Sorry, no description available! -
[[Stellenausschreibung55/en|]]
Research group: Economics and Technology of eOrganizations (Nelly Schuster)
Description: Sorry, no description available! -
[[Stellenausschreibung56/en|]]
Research group: Business Information Systems (Daniel Ried)
Description: Link -
[[Stellenausschreibung57/en|]]
Research group: Business Information Systems (Andreas Schoknecht)
Description: Link -
[[Stellenausschreibung58/en|]]
Research group: Economics and Technology of eOrganizations (Jörn Kuhlenkamp)
Description: Sorry, no description available! -
[[Stellenausschreibung59/en|]]
Research group: Economics and Technology of eOrganizations (Alexander Lenk)
Description: Sorry, no description available! -
[[Stellenausschreibung6/en|]]
Research group: Web Science (Günter Ladwig)
Description: Link -
[[Stellenausschreibung60/en|]]
Research group: Web Science (Benedikt Kämpgen)
Description: Link -
[[Stellenausschreibung61/en|]]
Research group: Business Information Systems (Susan Hickl)
Description: Sorry, no description available! -
[[Stellenausschreibung63/en|]]
Research group: Complexity Management (Oliver Schöll)
Description: Link -
[[Stellenausschreibung64/en|]]
Research group: Web Science (Benedikt Kämpgen)
Description: Link -
[[Stellenausschreibung65/en|]]
Research group: Web Science (Basil Ell)
Description: Sorry, no description available! -
[[Stellenausschreibung66/en|==HiWi-Tätigkeit "Web-Entwicklung & XML" im Projekt CROME (CROss-border Mobility for Electric vehicles)==
Im Rahmen eines länderübergreifenden Flottenversuchs mit Elektrofahrzeugen werden zukünftige Mobilitätskonzepte konzipiert, entwickelt und erprobt.
Zu diesem Zweck werden Nutzungsdaten einzelner Fahrten gesammelt und ausgewertet. Den Elektrofahrzeugnutzern sollen anschließend aggregierte Informationen in einem Web-Portal zur Verfügung gestellt werden, z.B. Fahrprofile und Streckenverläufe.
Für das Projekt CROME suchen wir eine studentische bzw. wissenschaftliche Hilfskraft zur Unterstützung im Bereich Web-Programmierung und XML. Die Arbeitszeit beträgt 20-40 Stunden/Monat für zunächst sechs Monate mit der Möglichkeit zur Verlängerung um weitere sechs Monate.
Wir erwarten
- Erfahrungen im Bereich (Web-)Programmierung (z.B. Microsoft .NET, C#, ASP.NET, MVC)
- Idealerweise Erfahrungen mit den Schnittstellen von Bing-Maps oder Google Maps sowie den XML-Sprachen für GPS-Daten KML oder GPX
- Engagierte und selbständige Arbeitsweise, gute Team- und Kommunikationsfähigkeit
Wir bieten
- Mitarbeit in einem spannenden Projekt mit aktuellen und vielseitigen Forschungsthemen zur Elektromobilität
- Ein angenehmes Arbeitsklima
- Flexible Zeiteinteilung
- Begleitende oder anschließende Abschlussarbeiten in diesem oder einem ähnlichen Thema
Ansprechpartner
Daniel Ried]]
Research group: Business Information Systems (Daniel Ried)
Description: Link