Doctoral Candidate, Computer Vision for Autonomous Driving | Doctoral Candidate (m/f/d) Computer Vision for Autonomous Driving
Technische Hochschule Ingolstadt Land Bayern
Job Summary
This doctoral candidate position focuses on cutting-edge research in Computer Vision and AI for autonomous mobility within the AImotion Bavaria hub. The core responsibility involves developing innovative methods for uncertainty quantification in autonomous vehicle perception, specifically targeting areas like object detection, semantic segmentation, and scene understanding. Day-to-day tasks include conducting deep learning research, integrating uncertainty metrics into automated driving systems, working with diverse datasets (synthetic and real-world), publishing findings in international forums, and contributing to funding applications. Candidates must possess an excellent Master's degree in AI, Robotics, or a related field, coupled with practical experience in uncertainty-aware machine learning and strong Python programming skills. This role offers the unique opportunity to pursue a doctorate in engineering and information science while collaborating with industry partners in an innovative research environment.
Required Skills
Education
Excellent master’s degree in artificial intelligence, robotics, data science or a related field
Experience
- Experience in developing and applying uncertainty-aware machine learning methods
- Experience in computer vision and autonomous systems context
- Familiarity with techniques for uncertainty quantification, neural network monitoring, and robustness evaluation
- Experience working with synthetic and real-world datasets
- Experience in supervising theses and supporting research and teaching endeavors
Languages
Additional
- Contract duration until 31.12.2030 (Fixed-term); Location: Ingolstadt; Position is subject to the final approval of funds.
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