Bosch Group
Master Thesis Advanced Control Strategies for Next-Generation Vehicle Dynamics(m/w/x)
Full-timeInternshipOn-site
Renningen
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BOBosch Group
Master Thesis in Validation and Optimization of Controllers Using Foundation Models(m/w/x)
Renningen
Full-timeOn-site
Nejo AI Summary
Researching control system performance for nonlinear dynamical systems, evaluating advanced AI architectures for dynamic modeling. Experience with dynamic systems, simulation, machine learning, and control theory required. Work performed on-site.
Requirements
- Master's degree in Engineering, Computer Science, Robotics, Mathematics, or comparable
- Experience with dynamic systems, simulation, machine learning, system identification, and control theory
- Motivated self-management, clear communication of complex issues, and independent task structuring
- On-site presence required
- Fluency in English
- Enrollment at university
Tasks
- Focus on validating controllers for nonlinear dynamical systems
- Explore a data-driven validation approach
- Identify requirements for closed-loop simulation of dynamic systems
- Conduct a literature review on state-of-the-art foundation model architectures
- Compare foundation models for modeling dynamic systems
- Design and implement a data-driven workflow
- Develop a strategy for data selection and preparation
- Fine-tune selected foundation models
- Generate additional measurements for data when needed
- Systematically evaluate the accuracy of fine-tuned models
- Compare fine-tuned models with traditional physics-based and data-based models
- Analyze model performance, focusing on corner cases
- Integrate fine-tuned models into a closed-loop simulation environment
- Validate performance of existing controllers
- Explore optimization possibilities for controllers
- Analyze trade-offs between model accuracy, simulation speed, and computational resources
- Provide recommendations for practical applications
Education
- Currently in higher education
Languages
- English – Business Fluent
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.
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BOBosch Group
Master Thesis in Validation and Optimization of Controllers Using Foundation Models(m/w/x)
Renningen
Full-timeOn-site
Nejo AI Summary
Researching control system performance for nonlinear dynamical systems, evaluating advanced AI architectures for dynamic modeling. Experience with dynamic systems, simulation, machine learning, and control theory required. Work performed on-site.
Requirements
- Master's degree in Engineering, Computer Science, Robotics, Mathematics, or comparable
- Experience with dynamic systems, simulation, machine learning, system identification, and control theory
- Motivated self-management, clear communication of complex issues, and independent task structuring
- On-site presence required
- Fluency in English
- Enrollment at university
Tasks
- Focus on validating controllers for nonlinear dynamical systems
- Explore a data-driven validation approach
- Identify requirements for closed-loop simulation of dynamic systems
- Conduct a literature review on state-of-the-art foundation model architectures
- Compare foundation models for modeling dynamic systems
- Design and implement a data-driven workflow
- Develop a strategy for data selection and preparation
- Fine-tune selected foundation models
- Generate additional measurements for data when needed
- Systematically evaluate the accuracy of fine-tuned models
- Compare fine-tuned models with traditional physics-based and data-based models
- Analyze model performance, focusing on corner cases
- Integrate fine-tuned models into a closed-loop simulation environment
- Validate performance of existing controllers
- Explore optimization possibilities for controllers
- Analyze trade-offs between model accuracy, simulation speed, and computational resources
- Provide recommendations for practical applications
Education
- Currently in higher education
Languages
- English – Business Fluent
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
Engineering
Description
Das Unternehmen entwickelt hochwertige Technologien und Dienstleistungen, die das Leben der Menschen verbessern.
Not a perfect match?
- Bosch Group
Master Thesis Advanced Control Strategies for Next-Generation Vehicle Dynamics(m/w/x)
Full-timeInternshipOn-siteRenningen - Fraunhofer-Gesellschaft
Master Thesis - Reinforcement Learning for wheeled, bipedal robots(m/w/x)
Full-timeInternshipOn-siteStuttgart - Fraunhofer-Gesellschaft
Masterthesis - Reinforcement Learning approach for path following and base control(m/w/x)
Full-timeOn-siteNot specifiedStuttgart - Bosch Group
Master Thesis Reinforcement Learning for Behavior Planning in Automated Driving(m/w/x)
Full-timeOn-siteNot specifiedRenningen - Bosch Group
Master Thesis Bridging the Gap between Reinforcement Learning & E2E Driving(m/w/x)
Full-timeInternshipOn-siteRenningen