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Master Thesis Automated Driving Systems(m/w/x)
Implementing and evaluating cutting-edge ML algorithms for perception or planning modules. Python, C++, and ROS experience required. PreMaster program with practical experience.
Requirements
- Master's degree in Computer Science, Robotics, Engineering, or comparable
- Excellent programming skills in Python and C++
- Knowledge of ROS and Machine Learning libraries (strong plus)
- Highly motivated, flexible team player
- Office attendance required
- Fluent English
- Good German skills (ideal)
- Enrollment at university
- CV, transcript, examination regulations attached
- Valid work and residence permit (if indicated)
Tasks
- Implement cutting-edge algorithms
- Integrate cutting-edge algorithms
- Evaluate cutting-edge algorithms
- Focus on perception or function and planning modules
- Apply Machine Learning techniques
- Work with End-to-End systems
- Utilize Foundation Models
- Use Vision Language Models (VLM)
- Use Vision Language Agents (VLA)
- Run algorithms in real time on a prototype test vehicle
- Realize system-driven evaluation in simulation
- Conduct evaluation on defined reference tracks
- Work in an agile research team
- Work in a diverse research team
Education
- Currently in higher education
Languages
- English – Fluent
- German – Advanced
Tools & Technologies
- Python
- C++
- ROS
- Machine Learning libraries
Benefits
Informal Culture
- Commitment to diversity and inclusion
Learning & Development
- PreMaster Program
Other Benefits
- Practical experience
Career Advancement
- Pathway to Master's degree
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Master Thesis Automated Driving Systems(m/w/x)
Implementing and evaluating cutting-edge ML algorithms for perception or planning modules. Python, C++, and ROS experience required. PreMaster program with practical experience.
Requirements
- Master's degree in Computer Science, Robotics, Engineering, or comparable
- Excellent programming skills in Python and C++
- Knowledge of ROS and Machine Learning libraries (strong plus)
- Highly motivated, flexible team player
- Office attendance required
- Fluent English
- Good German skills (ideal)
- Enrollment at university
- CV, transcript, examination regulations attached
- Valid work and residence permit (if indicated)
Tasks
- Implement cutting-edge algorithms
- Integrate cutting-edge algorithms
- Evaluate cutting-edge algorithms
- Focus on perception or function and planning modules
- Apply Machine Learning techniques
- Work with End-to-End systems
- Utilize Foundation Models
- Use Vision Language Models (VLM)
- Use Vision Language Agents (VLA)
- Run algorithms in real time on a prototype test vehicle
- Realize system-driven evaluation in simulation
- Conduct evaluation on defined reference tracks
- Work in an agile research team
- Work in a diverse research team
Education
- Currently in higher education
Languages
- English – Fluent
- German – Advanced
Tools & Technologies
- Python
- C++
- ROS
- Machine Learning libraries
Benefits
Informal Culture
- Commitment to diversity and inclusion
Learning & Development
- PreMaster Program
Other Benefits
- Practical experience
Career Advancement
- Pathway to Master's degree
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Bosch Group
Industry
Automotive
Description
Das Unternehmen entwickelt hochwertige Technologien und Dienstleistungen, die das Leben der Menschen verbessern.
Not a perfect match?
- Bosch Group
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Full-timeInternshipOn-siteStuttgart - Bosch Group
Master Thesis Advanced Control Strategies for Next-Generation Vehicle Dynamics(m/w/x)
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Master Thesis Reinforcement Learning for Behavior Planning in Automated Driving(m/w/x)
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