Technische Universität Berlin - Faculty IV - Institute of Commercial Information Technology and Quantitative Methods / DAI Labor
Research Assistant - salary grade E13 TV-L Berliner Hochschulen
under the reserve that funds are granted - part-time employment may be possible
The DAI-Labor of the Technische Universität Berlin is looking for a Research Assistant (m/f/x) to work on a flagship project on the application of artificial intelligence (AI) for the mobility of the future. Technological innovations for researching, developing and testing new ideas and AI-based approaches will be implemented within the framework of a holistic approach to mobility, from autonomous and connected driving, autonomous local public transport to automated last-mile logistics solutions and intermodal applications. The mobility scenarios are validated by autonomous test vehicles (cars, buses, vans, delivery robots) and new mobility scenarios on the DIGINET test field in real operation.
Work on a showcase project for the development of novel IT architectures and applications for the mobility of the future
Development of a scalable software stack with focus on the AI platform and AI middleware levels for the implementation of automated driving in urban areas
Contribute to the design and implementation of interconnected software stacks for the vehicle, EDGE and cloud.
Solve scientific and technical challenges such as scalable device integration, sensor data fusion, service development and provisioning, service linkage, planning and optimisation for automated and connected mobility scenarios
Contribute to the design and implementation of tools for the development and deployment of distributed services and applications.
Supervision of M.Sc. & B.Sc. theses at the TU Berlin on the project topics
Possibility to do a PhD
Access to an attractive research environment and a testbed infrastructure in the city centre
Successfully completed university degree (Master, Diplom or equivalent) in computer science, electrical engineering or comparable subject area
Knowledge of concepts, methods and technologies in the areas of IoT, distributed systems (multi-agent systems, ...), AI and system design
Strong programming skills, especially Java and Python
Experience with container technologies (Kubernetes/OpenShift, ...)
Experience in software engineering and agile software development methods
Good abstraction skills, modelling and finding creative solutions
Previous experience in academic/industrial collaborative projects is an advantage
Very good knowledge of English and good knowledge of German; willingness to learn the respective missing language skills
How to apply:
Please send your complete application with the reference number and the usual documents (combined in a single pdf file, max. 5 MB) by email to Prof. Dr. Albayrak (email@example.com).
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 the TU staff department homepage: https://www.abt2-t.tu-berlin.de/menue/themen_a_z/datenschutzerklaerung/ or 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