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 was founded in 2021 and traces its roots to cutting-edge research in computer vision, autonomous systems, and artificial intelligence. The company secured a seven-digit funding round in 2022 to accelerate the development of its groundbreaking technology. DeepScenario and TU Munich (TUM) invite applications for a PhD position in the field of data science for autonomous driving applications. You will join our dedicated team of experts and research algorithms for scenario mining and generation to test self-driving cars. Note that this position is not in computer vision, but in data science.
Your Responsibilities:
Conduct state-of-the-art research in scenario mining and generation leveraging both classical and AI-based methods
Apply your novel approaches to solve challenging real-world problems
Publish your work on international conferences
Work closely with our team and your supervisor Prof. Dr. Daniel Cremers (TUM)
MSc in computer science, robotics, physics, statistics, or a related field
Theoretical and practical experience in advanced statistical techniques, machine learning, and generative AI
Team player with passion to work in an intercultural environment
High degree of autonomy and excellent problem-solving skills
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 or remote
Great team spirit in an agile environment