About Us

The Teleoperated Driving team is researching the relevant topics on the use of teleoperation in road traffic. Since autonomous vehicles will still not be able to master the complexity of any traffic situation in the distant future and will therefore leave the specified operational design domain, teleoperation or teleassistance will be a cornerstone in the context of autonomous mobility. If the vehicle cannot handle the driving situation on its own, the assistance of a human operator is requested to support the driving situation from an external workstation. The operator connects to the vehicle, sifts through the situation and solves complex situations. The goal is to ensure smooth communication between the operator and the teleoperated vehicle. We not only publish gained research results at various conferences and in journals, but also make our software available open source via the TUM Github Repository  to continuously expand the state of the art worldwide.

Tasks

As part of a public research project with strong industry participation, you will work within a team at the Chair of Automotive Engineering on optimal video transmission for teleoperated driving in public road traffic. The goal is to integrate your findings into the overall system. Beyond the industrial project, you will be involved in the internal and hardware-related development and evaluation of control concepts, visualisation concepts and safety functions for teleoperated driving. In addition to your technical work, you will take advantage of opportunities for interdisciplinary training and assume responsibility for teaching and ancillary tasks.

Your Profile

You are enthusiastic about novel mobility concepts and are interested in the topics of: Video streaming, image and signal processing, trajectory planning, control engineering and human-machine interaction (HMI). You enjoy working in an interdisciplinary team to solve complex problems. You have already gained experience with automated vehicles during your studies. Ideally, you have previous knowledge in the field of video streaming.

In summary, you have:

• An above-average university degree in one of the following subjects: mechanical engineering, mechatronics, robotics, electrical engineering or computer science.
• Knowledge in the field of digital image processing and video streaming
• Knowledge of study design and experience with volunteer studies
• Knowledge of C++ and object-oriented programming
• Knowledge in the field of automotive engineering
• Knowledge of Python and/or Matlab
• Experience in working with Linux

We Offer

• Temporary full-time position as research assistant (TV-L E-13)
• Broad research area with a high level of scientific exchange
• Modern working environment and infrastructure
• Possibility to do a doctorate if suitable
• Own budget for further education and conferences
• Possibility to spend time abroad

The Chair of Automotive Engineering aims to increase its proportion of women and therefore strongly encourages qualified women to apply. Severely disabled persons will be given preference in case of equal suitability and qualification.

We look forward to receiving your application documents (cover letter, curriculum vitae, high school diploma, bachelor's diploma, master's diploma, confirmation of internships). Please send them by e-mail with the job title in the subject line to:

Christiane Schulte
bewerbung.ftm@ed.tum.de
Lehrstuhl für Fahrzeugtechnik 
Boltzmannstraße 15 
85748 Garching