Master Thesis Automated Driving Systems

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Job Description

• During your assignment, you will implement, integrate and evaluate cutting-edge algorithms along the complete stack of an Automated Driving System with focus 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 ahighly motivated, flexible team player
• Work Routine: office attendance required
• Languages: fluent in English and ideally good in German

Additional Information

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

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.

You are almost finished with your Bachelor's degree and would like to gain some practical experience before embarking on your next academic adventure with a Master's degree? Then you fit in perfectly well with ourPreMaster Programm ! Take a look at our vacancieshier.

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)

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