Master Thesis Automated Driving Systems
Master Thesis Automated Driving Systems
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Job Description
- During your assignment you will implement integrate and evaluate cuttingedge algorithms along the complete stack of an Automated Driving System with focus on perception or function and planning modules.
- Technological focus will be on Machine Learning (End2End systems Foundation Models such as VLM and VLA).
- Your algorithms will run in real time on a prototype test vehicle.
- In addition you will realize a systemdriven evaluation in a systemintheloop 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 (Python C); knowledge of ROS and Machine Learning libs 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 (Business Department)
49 5
#LIDNI
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
