DeepScenario and TU Munich (TUM) are offering a PhD position in the field of autonomous driving with a focus on end-to-end driving. You will join our dedicated team of experts and research algorithms for policy generation and perception. Your work will contribute to the development of robust end-to-end driving models that perform reliably in challenging scenarios.
Your responsibilities:
Conduct state-of-the-art research on end-to-end driving
Leverage your approaches to solve challenging real-world problems in autonomous driving
Publish your work at international conferences
Work closely with our team and your supervisor, Prof. Dr. Daniel Cremers (TUM)
Your Qualifications:
MSc in computer science, engineering, physics, or a related field
Theoretical and practical experience in robotics and deep learning
Team player with passion to work in an intercultural environment
High degree of autonomy and excellent problem-solving skills
Your Benefits:
Work on a real-world problem to accelerate the deployment of autonomous vehicles
Conduct your research under the supervision of Prof. Dr. Daniel Cremers
Learn professional coding skills
Be part of an investor-backed company with a dedicated team of experts
Possibility to work in Stuttgart, Munich, or remote
Great team spirit in an agile environment
Interested? contact us
Please send your application to jobs@deepscenario.com including your CV, transcript of records, and work certificates.
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