Semantische Suche

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 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

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?

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>

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>

Fortgeschrittene Kenntnisse in Java Programmierung

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

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