Technische Universität Berlin - Fakultät IV - Institute of Commercial Information Technology and Quantitative Methods / DAI Labor
Research Assistant - salary grade E 13 TV-L Berliner Hochschulen
under the reserve that funds are granted - part-time employment may be possible
The DAI-Labor (Distributed Artificial Intelligence Laboratories) and the Agent Technologies chair of the "Technische Universität Berlin" under the leadership of Prof. Dr.-Ing. habil. Dr. h.c. Sahin Albayrak are involved in research and development in the area of smart systems and smart services since 1992.
The Competence Center "Robotics and Autonomous Systems" (CC RAS), one of six competence centers at the DAI Labor, is looking for a motivated researcher focusing on developing SW stack for autonomous driving activities. The candidate will work on a flagship project for the German government on the application of artifical intelligence (AI) for the moibility of the future. Technological innovations will be implemented as part of a holistic approach to mobility, from autonomous and connected driving to automated last mile logistics solutions and intermodal applications. The mobility scenarios are validated with autonomous vehicles and new mobility scenarios in real-world operation at the BeIntelligent test site. We offer access to an attractive research environment and testbed infrastructure in the city center.
Work in an applied research project for the development of an AI platform for connected mobility of the future.
Developing systems in the scope of advanced driving assistance systems (ADAS).
Scientific work and publishing, possiblity of working towards a PhD in the topic .
Supervision of students during their participation in the research project.
Successfully completed university degree (Master, Diplom or equivalent) in computer science or comparable field of study
Good knowledge in C/C++ and Python (Java is a plus).
Experience with one of the robotics topics: Localization, mapping, environment recognition (CV), navigation, and planning in general.
Knowledge in applied AI and ML solutions for advanced driver assistance applications, e.g., lane keeping.
Hands-on experience with Robotic Operating System (ROS) and Linux.
Familiarity with Git and Agile development.
Very good knowledge of English and good knowledge of German; willingness to learn the respective missing language skills
How to apply:
Please send your application with the reference number and the usual documents only via email (single pdf file, max. 5 MB) to apply@dai-labor. de.
By submitting your application via email you consent to having your data electronically processed and saved. Please note that we do not provide a guaranty for the protection of your personal data when submitted as unprotected file. Please find our data protection notice acc. DSGVO (General Data Protection Regulation) at TU website quick access 214041.
To ensure equal opportunities between women and men, applications by women with the required qualifications are explicitly desired. Qualified individuals with disabilities will be favored. The TU Berlin values the diversity of its members and is committed to the goals of equal opportunities.
Technische Universität Berlin - Der Präsident - Fakultät IV, Institut für Wirtschaftsinformatik und Quantitative Methoden, DAI-Labor, Prof. Dr. Dr. Albayrak, Sekr. TEL 14, Ernst-Reuter-Platz 7, 10587 Berlin