Direkt zum Inhalt springen
login.png Login    |
de | en
Technical University of Munich

Technical University of Munich

Sitemap > Jobs und Stellenangebote > Wissenschaftliches Personal > PhD Position: Trajectory planning for autonomous systems in safety-critical situations (m/w/d)
up   Back to  News Board    previous   Browse in News  next    

PhD Position: Trajectory planning for autonomous systems in safety-critical situations (m/w/d)

05.04.2023, Wissenschaftliches Personal

We are the Autonomous Vehicles Systems (AVS) Lab and are interested in the algorithmic foundations of path and behaviour planning, control and automated learning of autonomous vehicle systems. The AVS Lab's research is motivated by the goal of developing the next generation of intelligent autonomous vehicle systems. We are seeking highly motivated and enthusiastic PhD researchers.

Tasks and project
As part of a research project, you will be part of a dedicated group developing software for autonomous vehicles. Your research project focuses on enabling efficient and safe trajectory planning in safety-critical scenarios. For this purpose, we focus on modeling and quantifying risks in order to subsequently incorporate them into trajectory planning. The goal is to enable safe and agile behavior of the autonomous vehicle. You will be responsible for the conception, implementation and evaluation of the new algorithms. In addition to your technical work, you will take responsibility for teaching and ancillary tasks and supervise student teams.

Your profile
You are enthusiastic about the topic of autonomous systems and robotics and are motivated to take on responsibility in research. You enjoy working in a loyal and committed team to solve complex problems and dedicate yourself to a topic over a longer period of time.

In summary, you bring with you:

-A Master's degree in a technical field (mechanical engineering, mechatronics, robotics, electrical engineering, computer science, etc.)
-Know-How from lectures in robotics (e.g. environment perception, path and behavior planning, control)
-Very good programming skills (e.g. Python)
-A conscientious and independent way of working
-High motivation and commitment
-Negotiation skills in written and spoken German and English

We offer:
-Full-time position as research associate (TV-L E-13, 100%)
-Integration into the TUM Graduate School for support in doctoral studies
-Future-oriented research area with high (national and international) scientific exchange
-Loyal, reliable and committed team
-Numerous opportunities for professional and interdisciplinary training (e.g. soft-skill seminars)
-Modern working environment and infrastructure
-Possibility to work abroad
-Flexible home office arrangement

How do I apply?
The Autonomous Vehicle Systems Lab aims to increase its percentage of women and therefore strongly encourages qualified women to apply. Severely disabled persons will be given preference in case of equal suitability and qualification.

Please send your complete written application (cover letter, curriculum vitae, high school diploma, bachelor's diploma, master's diploma, confirmation of internships) in German or English in digital form to the following email address: johannes.betz@tum.de

The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance.

Data Protection Information:
When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information, please take note of the Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing personal data contained in your application in accordance with Art. 13 of the General Data Protection Regulation (GDPR)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM.

Kontakt: johannes.betz@tum.de

More Information