Bosch Group
Master Thesis Advanced Control Strategies for Next-Generation Vehicle Dynamics(m/w/x)
VollzeitPraktikumnur vor Ort
Renningen
Neuer Job?Nejo!
Dein persönlicher KI-Karriere-Agent
BOBosch Group
Master Thesis in Validation and Optimization of Controllers Using Foundation Models(m/w/x)
Renningen
VollzeitVor Ort
Nejo KI-Zusammenfassung
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.
Anforderungen
- 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
Aufgaben
- 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
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Bosch Group erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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BOBosch Group
Master Thesis in Validation and Optimization of Controllers Using Foundation Models(m/w/x)
Renningen
VollzeitVor Ort
Nejo KI-Zusammenfassung
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.
Anforderungen
- 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
Aufgaben
- 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
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Bosch Group erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Bosch Group
Branche
Engineering
Beschreibung
Das Unternehmen entwickelt hochwertige Technologien und Dienstleistungen, die das Leben der Menschen verbessern.
Noch nicht perfekt?
- Bosch Group
Master Thesis Advanced Control Strategies for Next-Generation Vehicle Dynamics(m/w/x)
VollzeitPraktikumnur vor OrtRenningen - Fraunhofer-Gesellschaft
Master Thesis - Reinforcement Learning for wheeled, bipedal robots(m/w/x)
VollzeitPraktikumnur vor OrtStuttgart - Fraunhofer-Gesellschaft
Masterthesis - Reinforcement Learning approach for path following and base control(m/w/x)
Vollzeitnur vor OrtKeine AngabeStuttgart - Bosch Group
Master Thesis Reinforcement Learning for Behavior Planning in Automated Driving(m/w/x)
Vollzeitnur vor OrtKeine AngabeRenningen - Bosch Group
Master Thesis Bridging the Gap between Reinforcement Learning & E2E Driving(m/w/x)
VollzeitPraktikumnur vor OrtRenningen