PhD Candidate in Computer Vision and Machine Learning
The Informatics Institute invites applications for a fully funded PhD. Candidate position in Computer Vision (CV) and Machine Learning (ML). The Institute hosts several internationally recognized staff in these domains; the openings are within the Amsterdam Machine Learning Lab and within Prof. Dariu Gavrila's research group. They deal with pedestrian/cyclist safety for highly automated vehicles and are part of corresponding national and EU projects involving collaborations with TNO, TU Delft/Eindhoven and Daimler, among others.
The intended research addresses problems within the spectrum of vision-based object detection, pose estimation, motion modeling, tracking, and intent recognition. A key question is how to learn object appearance, dynamics and behaviors from visual data. Related questions are how to combine multiple visual cues (intensity, depth, motion, and shape), how to balance data-driven and model-based approaches, and how to integrate scene context. Challenges include dealing with a mobile vision platform, a complex urban environment, large object appearance variations, sudden changes in object dynamics, adverse visibility conditions, and meeting the high robustness and efficiency demands of highly automated driving. Deep learning is a promising research avenue but other ML methodologies might apply as well.
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