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Possible topics (ask for details):
- vision-based pedestrian detection and collision risk analysis (Daimler R&D)
- human pose recovery from stereo vision onboard socially aware robot (UvA)
- multi-person tracking from multiple cameras (UvA)
- anomalous behaviour detection (UvA)
Applicants should have an above-average academic record, a basic understanding of calculus and linear algebra, and possess strong programming skills (C/C++). Experience with image processing and/or pattern recognition techniques is a plus. Good English skills required, basic understanding of Dutch or German a plus, depending on the location.
Applicants should be available full-time for at least 5 months (longer is preferred). Prospective applicants please email
cover letter (explaining suitability) resume copy of academic record (courses/grades) any supporting materials (project reports etc.)
to Prof. Dr. D.M. Gavrila.
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