T33-2024 - Research Assistant / Doctoral Student (all genders) - Distributed real-time decision-making in autonomous driving

  • Darmstadt
  • 100%
  • Temporary (3 Jahre)
  • Pay group 13 TV TU Darmstadt
  • immediately
About TU Darmstadt

TU Darmstadt stands for excellent and relevant science. We are playing a decisive role in shaping the far-reaching processes of global change—from the energy transition to artificial intelligence—through outstanding scientific knowledge and innovative academic programmes. We group our cutting-edge research into three fields: Energy and Environment, Information and Intelligence, Matter and Materials. We are a university with strong ties to the Frankfurt Rhine-Main metropolitan region and a very strong international focus. We are committed to European values and European integration.

About our department
The Department of Control Methods and Intelligent Systems (ris) is part of the Department of Electrical Engineering and Information Technology. As part of the Emmy Noether Program, a new working group is being established here on the topic of distributed decision-making in real time in autonomous driving and smart grids.
Your tasks

The focus is on development of efficient algorithms that solve real-time decision-making problems in conflict situations and route planning arising in the network of autonomous vehicles. Strategic interactions of vehicles on roads should be modeled by means of game theory. For the resulting games, learning procedures should be developed to solve conflict situations at a possibly fastest rate, which enables real-time route planning. Achieving this goal should ensure efficient and safe behavior of vehicles on roads. The theoretical methods should use modern communication technologies as well as take into account information restrictions in autonomous driving.

Publications in international top venues are desired. Support of teaching and other lab duties is expected.

Your profile
  • Excellent University Science Degree (M.Sc. /Diploma) in engineering, mathematics, computer or natural sciences
  • Interested in the topics related to autonomous driving
  • Advanced programming experience (e.g. C,C++, Matlab, Python)
  • Previous knowledge in game-theoretic optimization is advantageous, but can also be learned during the project
  • Very good English is a must, German language skills are beneficial
  • Independent working style, initiative and ability to work in a team
We offer

Technical University of Darmstadt offers varied and challenging assignments, freedom to work independently, the latest technologies, good collaboration between colleagues in partnership, needs-based training opportunities and customised personnel development.

Opportunity for further qualification (doctoral dissertation) is given. The fulfillment of the duties likewise enables the scientific qualifications of the candidate.

  • Development and organisation – comprehensive in-house training offers, including the opportunity for continuing education and development;
  • Annual leave/educational leave – 30 days annual leave (full-time employment) and 5 days educational leave;
  • Sustainable and mobile – eligibility to free public transport in the state of Hesse with the LandesTicket Hessen (Hesse StateTicket) in accordance with the currently valid collective agreement, in addition to opportunities to working mobile at times;
  • Fit and healthy – free of charge preventive medical check-ups and a wide-ranging subsidised sports programme
  • Work-life balance – flexible working time models, plus BGM (Betriebliches Gesundheitsmanagement – University Health Management);
  • Pension scheme – supplementary public service pension scheme (VBL) in accordance with the currently applicable regulations;
  • University bicycle
  • Family-friendliness/compatibility of family/care/career – (university-run) childcare services, child allowance (based on the collective agreement), childcare programmes during school holidays
General information, data privacy

TU Darmstadt intends to increase the number of female employees and encourages female candidates to apply. In case of equal qualifications, applicants with a degree of disability of at least 50 or equal will be given preference. Remuneration is in accordance with the collective agreement for the Technical University of Darmstadt (TV - TU Darmstadt). Part-time employment is generally possible.

By submitting your application, you agree that your data may be stored and processed for the purpose of filling the vacancy. You can find our privacy policy on our webpage.


If you have any questions about this position, please contact tatiana.tatarenko@tu-darmstadt.de

Your contact person:

Dr. rer. nat. Tatiana Tatarenko


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Technische Universität Darmstadt

Institute of Automation Systems
Department of Control Methods and Intelligent Systems
Landgraf Georg Str. 4
64283 Darmstadt