Master Thesis Automated Driving Systems

• During your assignment you will implement integrate and evaluate cutting-edge algorithms along the complete stack of an Automated Driving System focusing on perception or function and planning modules.
• The technological focus will be on Machine Learning including End-to-End systems and Foundation Models such as Vision Language Models (VLM) and Vision Language Agents (VLA).
• Your algorithms will run in real time on a prototype test vehicle.
• In addition you will realize a system-driven evaluation in a system-in-the-loop simulation and on defined reference tracks.
• Last but not least you will work in an agile and diverse research team.

Qualifications :

• Education: Master studies in the field of Computer Science Robotics Engineering or comparable with excellent grades
• Experience and Knowledge: excellent programming skills in Python and C; knowledge of ROS and Machine Learning libraries is a strong plus
• Personality and Working Practice: you are a highly motivated flexible team player
• Languages: fluent in English and ideally good in German

Additional Information :

Start: according to prior agreement
Duration: 3 - 6 months

Optionally we can support an internship preceding the offered thesis. This option would allow you to gather a still broader understanding in the field of automated driving.

Requirement for this thesis is the enrollment at university. Please attach your CV transcript of records examination regulations and if indicated a valid work and residence permit.

Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore we welcome all applications regardless of gender age disability religion ethnic origin or sexual identity.

Need further information about the job
Thomas Michalke (Functional Department)
49 5

#LI-DNI

Remote Work :

No

Employment Type :

Full-time

Key Skills
Dermatology,Communication,Excel,Furniture,Airlines,Jboss
Experience: years
Vacancy: 1