DeepScenario builds the essential link between the physical and the virtual world to enable training and testing of autonomous systems at scale. Our mission is to help customers like BMW, Mercedes, or Volkswagen deploy autonomous systems in dramatically less time and with less cost. Core of our solution is the AI Scenario Engine that turns real-world measurements into virtual driving scenarios for hyperscale simulation.
DeepScenario and TU Munich (TUM) are offering a PhD position in the field of Generative AI for autonomous driving applications. You will join our dedicated team of experts and research algorithms for scenario generation to test self-driving cars. Note that this position is not in computer vision, but requires knowledge of trajectory generation from robotics and controls.
PhD Position in Generative AI
Activities and responsibilities
- Conduct state-of-the-art research in scenario generation leveraging AI-based methods
- Apply your novel approaches to solve challenging real-world problems in autonomous driving
- Publish your work on international conferences
- Work closely with our team and your supervisor, Prof. Dr. Daniel Cremers (TUM)
Qualification profile
- MSc in computer science, robotics, physics, engineering, or a related field
- Theoretical and practical experience in machine learning and Generative AI
- Previous knowledge of transformer and diffusion models beneficial
- Team player with passion to work in an intercultural environment
- High degree of autonomy and excellent problem-solving skills
We offer
- 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 standards
- 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