Master Thesis Predictive Modeling and Control for Autonomous Driving

• Furthermore, you help develop a parameterizable model for fitting real-world data to improve predictability.
• In addition, you contribute to investigating and simulating process steps, including delays in data transmission.
• Moreover, you assist in identifying factors influencing data loss and delays, such as trigger configurations and vehicle fleet characteristics.
• Additionally, you explore event-driven simulation methods for the large data upload process.
• You evaluate control strategies, comparing regulation versus steering approaches for process optimization.
• You collaborate with experts in autonomous driving and data analytics to implement innovative solutions impacting BMW’s autonomous driving data infrastructure.

Do you have experience in Python?, * Studies in data science, machine learning, control systems, computer science or related fields.

• Strong interest in autonomous driving and data-driven process optimization.
• Knowledge of simulation techniques, preferably event-driven simulation approaches.
• Understanding of time delay systems and process control concepts.
• Programming skills in Python, MATLAB or similar tools for data analysis and modeling tasks.
• Ability to work independently and communicate results clearly to technical stakeholders.
• Good German and English skills.

Are you passionate about new technologies and an innovative environment? Then Apply now!

Pulled from the full job description

• Flexible schedule