Internship in Model Predictive Control For Autonomous Vehicles

Company Description

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference.

The Robert Bosch GmbH is looking forward to your application!

Job Description

• Model Predictive Control (MPC) is a powerful technique used in autonomous vehicles to optimize their path tracking and trajectory planning.
• As an intern for our team, you will have the opportunity to work on the development of MPC algorithms for autonomous vehicles, integrating planning and control algorithms, and testing them on real vehicles.
• Finally, you will also be responsible for identifying and handling disturbances and uncertainties to ensure the robustness and reliability of the control system.

Qualifications

• Education: studies in the field of Engineering, Computer Science or comparable
• Experience and Knowledge: experience in Python, strong understanding of control theory and motion planning algorithms
• Personality and Working Practice: a person who is able to work independently and as part of a team and has excellent problem-solving and analytical skills
• Languages: very good in English

Additional Information

Start: according to prior agreement
Duration: 6 months

Requirement for this internship is the enrollment at university. Please attach your CV, transcript of records, enrollment certificate, examination regulations and if indicated a valid work and residence permit.

Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.

Need further information about the job?
Felix Berkel (Functional Department)
+49 711 811 49425

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