Research Assistant (m/f/d) in the field of teleoperation design and technical supervision of automat

Research Assistant (m/f/d) in Teleoperation Design and Technical Supervision of Automated Vehicle Fleets

Position Type: Full-time, Academic Staff Contract Duration: Fixed-term until June 30, 2028 Start Date: As soon as possible Application Deadline: April 22, 2026

About Us

The Chair of Ergonomics, led by Prof. Dr. Klaus Bengler, is a research and teaching group within the Department of Mechanical Engineering at the Technical University of Munich (TUM). With approximately 25 staff members, we focus on the design and evaluation of human-machine interactions and complex socio-technical systems. Our Automated Driving Research Group specifically investigates user interaction with automated vehicles, the design of control center and teleoperation concepts, and sustainable mobility solutions for public transportation, with a strong emphasis on the technical supervision of automated vehicle fleets and the organization of future work.

Your Responsibilities

As a Research Assistant in the Automated Driving research group, you will:

• Participate in research projects focused on teleoperation design and the technical supervision of automated vehicle fleets.
• Contribute to the further development and technical support of a tele-assistance and control center simulator.
• Design, implement, and conduct simulator studies.
• Analyze performance, reliability, and organizational aspects of automated systems.
• Assist with the teaching duties of the Chair of Ergonomics.
• Collaborate on applications for publicly funded research grants.
• Publish research findings in relevant scientific journals and conferences.
• Have the opportunity to pursue a Ph.D.

Your Profile

We are seeking a motivated individual who enjoys independent work, driving new ideas, and acquiring new skills. You will mentor students in research projects and courses, fostering a supportive learning environment. Essential qualifications include:

• A completed Master's degree with a technical or cognitive psychology background (e.g., Mechanical Engineering, Automotive Engineering, Transportation Planning, Human Factors Engineering, Psychology) with an overall grade better than 2.5.
• Excellent programming skills in languages such as Python, JavaScript/Angular/Electron, C++, or comparable.
• Experience in developing simulation environments or experimental software platforms.
• Ideally, familiarity with driving simulation software (e.g., SILAB).
• Experience in designing, implementing, and evaluating empirical studies.
• Strong teamwork, structured work approach, and excellent communication skills.
• A genuine interest in scientific work and publishing.
• Fluency in both German and English is required.

We Offer

• A varied and challenging role at a renowned university.
• A supportive, close-knit team with an open learning culture and a focus on dialogue and employee involvement.
• Opportunities for both personal and professional growth.
• Access to an extensive network in research and industry.
• Flexible working hours and the option for remote work.
• Provision of a laptop and company mobile phone.
• Potential for international research stays and conference travel based on performance.
• A comprehensive training program.
• The opportunity to pursue a Ph.D.
• Compensation according to the collective bargaining agreement for the public sector (TV-L).

Application Process

Please submit your detailed application materials via email by April 22, 2026, with the subject line "Application for Automated Driving," to:

Technische Universität München Lehrstuhl für Ergonomie / Chair of Ergonomics Dr.-Ing. Verena Knott Boltzmannstraße 15 85747 Garching b. München bewerbungen.lfe@ed.tum.de www.ergonomie.tum.de www.tum.de

Note: Applicants with severe disabilities will be given preference if they possess equivalent qualifications and suitability. TUM is committed to increasing the representation of women in its workforce.

Data Protection

Please review the data protection information provided by TUM regarding the collection and processing of personal data during the application process, in accordance with Art. 13 GDPR. By applying, you acknowledge these terms.

Contact: bewerbungen.lfe@ed.tum.de

More Information:

• JobDescriptionLfE (application/pdf, 133.9 kB)

Disclaimer

Please note that we cannot cover any costs incurred in connection with a potential interview.