PhD – Leveraging Prior Knowledge for Safe and Efficient Deep Learning Solutions to Autonomous Driving

Stellenbezeichnung: PhD – Leveraging Prior Knowledge for Safe and Efficient Deep Learning Solutions to Autonomous Driving

Firma: Bosch

Arbeitsort / Location: Renningen, Baden-Württemberg

Job Beschreibung: 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. Welcome to Bosch.

The Robert Bosch GmbH is looking forward to your application!

Job Description

We are looking for a motivated PhD student intereseted in high-impact cutting-edge research in Artificial Intelligence (AI) for Autonomous Driving (AD). The duration of the fully funded PhD is three years.

AI provides the methodical base for constructing cognition-able machines, which can successfully support or even replace humans in various tasks. With the advent of large data sets and improved computational ressources, machine learning and in particular deep learning has become the dominating AI technology. The goal of this project is to investigate modalities to improve the generalization ability and the explainability of deep learning solutions by leveraging prior human knowledge in the form of e.g., invariances but also causal reasoning, for solving the planning task in AD.


  • Education: Master’s degree in Computer Science, Mathematics, Physics or Engineering
  • Experience and Knowledge: very good computer-science skills as well as a solid mathematical background, prior research experience in machine learning / computer vision and experience as author/co-author of scientific publications in the field is a plus
  • Languages: fluent in English (written and spoken)

Additional Information

The final PhD topic is subject to your university.

Duration: 3 years

Please submit all relevant documents (incl. curriculum vitae, certificates, cover letter and a research statement).

You want to work remotely – we offer great opportunities for mobile working. Feel free to contact us.

Need support during your application?

Kevin Heiner (Human Resources)

+49 711 811 12223

Need further information about the job?

Alexandru Paul Condurache (Functional Department)

+49 711 811-55399

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