Bosch Group
Master Thesis Bridging the Gap between Reinforcement Learning & E2E Driving(m/w/x)
Full-timeInternshipOn-site
Renningen
New Job?Nejo!
Your personal AI career agent
BOBosch Group
Master Thesis Reinforcement Learning for Behavior Planning in Automated Driving(m/w/x)
Renningen
Full-timeOn-site
AI/ML
Nejo AI Summary
Developing AI planners for automated driving using Reinforcement Learning. Strong theoretical background in RL and IL required. Focus on open-source datasets and training frameworks.
Requirements
- Master's in Computer Science, AI, Robotics, Mechatronics, or comparable
- Familiarity with behavior planning for automated driving
- Familiarity with AI-based planners
- Strong theoretical background in Imitation Learning (IL)
- Strong theoretical background in Reinforcement Learning (RL)
- Excellent programming skills in Python
- Knowledge of collaborative coding platforms
- Knowledge of software development platforms
- C++ skills (plus)
- High motivation
- Openness to collaboration
- Teamwork skills
- Excellent communication skills
- On-site presence required
- Fluent in English
Tasks
- Review scientific literature on behavior planning in automated driving
- Focus on Reinforcement Learning (RL) approaches
- Explore open-source datasets and training frameworks for autonomous driving
- Design novel training methodologies for AI planners
- Apply training methodologies to develop high-performance AI planners
- Integrate Imitation Learning (IL) and Reinforcement Learning
- Leverage combined IL and RL framework advantages
- Maintain well-structured technical documentation
- Ensure clean code practices
Education
- Master's degree
Languages
- English – Fluent
Tools & Technologies
- Python
- GitHub
- C++
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Bosch Group and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
Not a perfect match?
- Bosch Group
Master Thesis Combining Imitation & Reinforcement Learning to Solve Automated Driving(m/w/x)
Full-timeWorking StudentOn-siteRenningen - Bosch Group
Master Thesis Advanced Control Strategies for Next-Generation Vehicle Dynamics(m/w/x)
Full-timeInternshipOn-siteRenningen - Bosch Group
Master Thesis Automated Driving Systems(m/w/x)
Full-timeInternshipOn-siteRenningen - Fraunhofer-Gesellschaft
Master Thesis - Reinforcement Learning for wheeled, bipedal robots(m/w/x)
Full-timeInternshipOn-siteStuttgart
BOBosch Group
Master Thesis Reinforcement Learning for Behavior Planning in Automated Driving(m/w/x)
Renningen
Full-timeOn-site
AI/ML
Nejo AI Summary
Developing AI planners for automated driving using Reinforcement Learning. Strong theoretical background in RL and IL required. Focus on open-source datasets and training frameworks.
Requirements
- Master's in Computer Science, AI, Robotics, Mechatronics, or comparable
- Familiarity with behavior planning for automated driving
- Familiarity with AI-based planners
- Strong theoretical background in Imitation Learning (IL)
- Strong theoretical background in Reinforcement Learning (RL)
- Excellent programming skills in Python
- Knowledge of collaborative coding platforms
- Knowledge of software development platforms
- C++ skills (plus)
- High motivation
- Openness to collaboration
- Teamwork skills
- Excellent communication skills
- On-site presence required
- Fluent in English
Tasks
- Review scientific literature on behavior planning in automated driving
- Focus on Reinforcement Learning (RL) approaches
- Explore open-source datasets and training frameworks for autonomous driving
- Design novel training methodologies for AI planners
- Apply training methodologies to develop high-performance AI planners
- Integrate Imitation Learning (IL) and Reinforcement Learning
- Leverage combined IL and RL framework advantages
- Maintain well-structured technical documentation
- Ensure clean code practices
Education
- Master's degree
Languages
- English – Fluent
Tools & Technologies
- Python
- GitHub
- C++
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Bosch Group and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Bosch Group
Industry
IT
Description
Das Unternehmen entwickelt hochwertige Technologien und Dienstleistungen, die das Leben der Menschen verbessern.
Not a perfect match?
- Bosch Group
Master Thesis Bridging the Gap between Reinforcement Learning & E2E Driving(m/w/x)
Full-timeInternshipOn-siteRenningen - Bosch Group
Master Thesis Combining Imitation & Reinforcement Learning to Solve Automated Driving(m/w/x)
Full-timeWorking StudentOn-siteRenningen - Bosch Group
Master Thesis Advanced Control Strategies for Next-Generation Vehicle Dynamics(m/w/x)
Full-timeInternshipOn-siteRenningen - Bosch Group
Master Thesis Automated Driving Systems(m/w/x)
Full-timeInternshipOn-siteRenningen - Fraunhofer-Gesellschaft
Master Thesis - Reinforcement Learning for wheeled, bipedal robots(m/w/x)
Full-timeInternshipOn-siteStuttgart