Subject: Graduate internships, Doctoral and Postdoctoral positions, Computer vision and Machine Learning

Research Topic: Modeling, Learning and Recognition in Video

Positions are available in the area of computer vision and machine learning, with applications to scene understanding (3d reconstruction, object modeling, object and action recognition, image categorization) from video sequences.  

The research aims to design generally applicable methods for visual feature extraction based on hierarchical architectures as well as numerical optimization and machine learning techniques (graphical models, kernel methods, latent variable methods, semi-supervised learning algorithms), with a general demonstrator emphasis towards dynamic scene understanding -- relational models of visual scenes containing people interacting with objects. People are pervasive subjects in film and photographs and human activity analysis has applications for film and television industries, special-effects, motion capture, video augmentation, human-computer interfaces, profiling in sports, rehabilitation medicine, surveillance and security.

Depending on the interest and strengths of the candidate the work can focus on one (or several) of the following aspects: numerical optimization and machine learning algorithms, 2d or 3d modeling, hierarchical feature extraction, computational visual attention mechanisms, object recognition and image categorization.

The approach is strongly research oriented, targeting contributions to be published in high-profile international journals and conferences in computer vision, machine learning and computer graphics. We focus on novel theoretical and algorithmic contributions, but also the design of associated proof-of-concept prototypes.

Application Process: The successful candidates will be involved in research along one of the above themes in collaboration with Prof. Cristian Sminchisescu. To be accepted for a PhD position, applicants must have a university diploma at the bachelors or masters level. Applicants for graduate internships should already be well advanced in their PhD. course of study. Applicants for a Research Scientist position should have a PhD degree or equivalent qualifications.

Applications should include a curriculum vitae, a list of publications and the name of 3 senior researchers who might be contacted for reference letters.

Candidate Profile: Applicants should have background in computer vision, machine learning & AI or computer graphics. A strong applied mathematics or physics background is a plus. Outstanding academic records are required for PhD students and summer interns (a prior publication record and research experience is sought), and strong publications in internationally recognized conferences or journals are required for research scientist / postdoctoral positions. Solid programming skills including (some of) the following, is necessary: C/C++, graphics modeling libraries (OpenInventor, OpenGL), animation packages (Maya, Poser), or scientific programming environments (Matlab).

If you have the above profile, you are motivated and enthusiastic about research, and you've got a drive for solving hard problems, please, contact me.