PhD Position on Face Recognition at IDIAP (filled)

The IDIAP Research Institute seeks a qualified candidate for a PhD student position in the field of face recognition and model adaptation. Position is available now. Model adaptation, also called on-line adaptation, is concerned with maintaining a biometric system when it is deployed over an extended period of time. Because the system may degrade over time, the template (or model) representing the user has to be updated. The doctoral student will investigate model adaptation techniques for face recognition. A range of fundamental problems in computer vision and biometric authentication, such as object recognition, discovery of invariant visual patterns, and domain-specific problems are also open for investigation. The ideal PhD candidate will hold a degree in computer science or related fields. She or he should have strong background in statistics, linear algebra, signal processing, C++ programming, Perl and/or Python scripting languages, and Linux environment. Knowledge in statistical machine learning and vision processing is an asset.

The link address is: http://www.idiap.ch/jobs.php