PhD Thesis - Data-Centric Radar AI
Bosch GroupAbout the role
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
- The goal of the thesis is to develop methods for data-centric radar AI development, including relevant data selection, understanding of structures in data, recognition of invariances for easier generalization, and achieving robustness.
- The ongoing automation of the driving functions in cars needs accurate environment sensing and perception.
- Radar is a key surround sensing technology for automated driving and AI based methods play a key role for radar perception.
- Ideally, the developed approaches are implemented prototypically and applied to a cutting edge radar AI use case in the field of autonomous vehilces.
Qualifications
- Education: excelent Master's degree in Data Science, Electrical Engineering, Physics or Applied Informatics
- Personality: good communication skills
- Experience and Knowledge: good knowledge in state-of-the-art AI methods, digital signal processing, experience in programming in python, knowledge of automotive radar and git nice-to-have
- Languages: fluent English and good German language skills
Additional Information
www.bosch.com/research
https://www.bosch-ai.com
The final Phd topic is subject to your university.
Please submit all relevant documents (incl. Letter of motivation, curriculum vitae, grade certificates, work certificates, if available: master's thesis, publications list).
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You want to work remotly or part-time – we offer great opportunities for mobile working as well as different part-time models. Feel free to contact us.
Need support during your application?
Kevin Heiner (Human Resources)
+49 711 811 12223
Need further information about the job?
Marco Altmann (Functional Department)
+49 711 811 26876
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