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Student Assistants / Tutors
  • Stellenausschreibung213 (Beschreibung EN: The research assistant will support the scientific staff of the Systems, Data, Simulation & Energy (SYDSEN) and Cooperative Autonomous Systems (CAS) research groups on the Project Tyre Road Noise: Data-based study of effects on controlled and real drive noise emission , funded by the 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., Link PDF: 20240229_TyRoN_Hiwi.pdf, Ausschreibender: Min-Bin Lin)
  • Stellenausschreibung214 (Beschreibung EN: The research assistant will support the scientific staff of the Systems, Data, Simulation & Energy (SYDSEN) and Cooperative Autonomous Systems (CAS) research groups on the Project Tyre Road Noise: Data-based study of effects on controlled and real drive noise emission , funded by the 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.
    , Forschungsgruppe: Systems, Data, Simulation & Energy, Ausschreibender: Min-Bin Lin)
  • Stellenausschreibung215 (Beschreibung EN: The research assistant will support the scientific staff of the Systems, Data, Simulation & Energy (SYDSEN) and Cooperative Autonomous Systems (CAS) research groups on Trajectory Data Mining for Autonomous Vehicle Test Drives, in collaboration with 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.
    , Forschungsgruppe: Cooperative Autonomous Systems, Link PDF: 20240305_AstaZero_Hiwi.pdf, Ausschreibender: Min-Bin Lin; Jianxin Zhao)
  • Stellenausschreibung218 (Beschreibung EN: 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., Forschungsgruppe: Web Science, Link PDF: HiWi-Ausschreibung_LLM+Graph.pdf, Ausschreibender: Chen Shao)
  • Stellenausschreibung219 (Beschreibung EN: 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., Forschungsgruppe: Web Science, Link PDF: output (15).pdf, Ausschreibender: Chen Shao)
  • Stellenausschreibung220 (Beschreibung EN: 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., Forschungsgruppe: Web Science, Link PDF: output (15).pdf, Ausschreibender: Chen Shao)
  • Stellenausschreibung221 (Beschreibung EN: 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.
    , Forschungsgruppe: Cooperative Autonomous Systems, Link PDF: Generic_HiWi_offering.pdf, Ausschreibender: Manuel Bied)
  • Stellenausschreibung222 (Beschreibung EN: 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>
    , Forschungsgruppe: Angewandte Technisch-Kognitive Systeme, Link PDF: 2024_04_29_Hiwi_Webdev_en_2.pdf, Ausschreibender: Ferdinand Mütsch)
  • Stellenausschreibung223 (Beschreibung EN: 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>
    , Forschungsgruppe: Angewandte Technisch-Kognitive Systeme, Link PDF: 2024_04_29_Hiwi_Sysadmin_en_2.pdf, Ausschreibender: Ferdinand Mütsch)
  • Stellenausschreibung23 (Forschungsgruppe: Web Science, Ausschreibender: Sudhir Agarwal)
  • Stellenausschreibung234 (Forschungsgruppe: Web Science, Link PDF: Tutorenstelle_Info2.pdf, Ausschreibender: Anna Nguyen)
  • Stellenausschreibung236 (Forschungsgruppe: Web Science, Link PDF: Tutorstelle AIFB AKI2019.pdf, Ausschreibender: Tobias Weller)
  • Stellenausschreibung24 (Forschungsgruppe: Web Science, Link PDF: Tutor-AI1Vorlesung.pdf, Ausschreibender: Benedikt Kämpgen)
  • Stellenausschreibung26 (Beschreibung EN: 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., Forschungsgruppe: Web Science, Link PDF: Aushang-smw-render-hiwi.pdf, Ausschreibender: Elena Simperl)
  • Stellenausschreibung27 (Forschungsgruppe: Web Science, Link PDF: Ausschreibung WM Tutoren.pdf, Ausschreibender: Carolin Michels)
  • Stellenausschreibung276 (Forschungsgruppe: Web Science, Link PDF: Tutorstelle AIFB AKI2018.pdf, Ausschreibender: Tobias Weller)
  • Stellenausschreibung28 (Link PDF: HiwiSMWDSo2010.pdf, Ausschreibender: Daniel Sommer)
  • Stellenausschreibung29 (Forschungsgruppe: Web Science, Link PDF: AusschreibungGdI1SS2011.pdf, Ausschreibender: Andreas Wagner)
  • Stellenausschreibung291 (Forschungsgruppe: Web Science, Link PDF: Tutorstelle_AIFB_AKI.pdf, Ausschreibender: Tobias Weller)
  • Stellenausschreibung3 (Beschreibung EN: Das Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB) sucht Tutorinnen und Tutoren zur Unterstützung der Vorlesung Grundlagen der Informatik I für das Sommersemester 2012., Forschungsgruppe: Web Science, Link PDF: AusschreibungGdI1SS2012.pdf, Ausschreibender: Andreas Wagner)