PhD position in computer vision – machine learning

Position: We have an opening for a PhD position in computer vision, with a focus on cutting edge research in machine learning for detection and classification in images and videos. Research topics for this position may include, but are not limited to, weakly supervised classification methods, image feature design, 3D object reconstruction. Research will be performed in the Computer Vision Group at the University of Bern. The position is available from January 1st, 2015.

Your profile: We are looking for a highly motivated candidate, who is eager to get involved in cutting edge, creative research. You hold a Master of Science in Computer Science, Mathematics or Engineering, with a solid background in computer vision and machine learning. You have excellent skills in applied mathematics, in probability theory, and a programming languange  (e.g., Matlab, C, C++). Experience in OpenCL, CUDA/GPU programming are a plus. We expect fluent communication skills in English.

What we offer: You will be part of a team of academic researchers working on state of the art technologies for machine learning, computer vision and computational photography. You will have the chance to contribute to and participate in the international research community. We are located in Bern in the core of Switzerland, one of the cities with the highest quality of life worldwide. You will receive a very competitive salary and be given financial support to attend training courses and international conferences.

Application and further information: Please send applications including CV, university transcripts (both MSc and BSc), and two reference letters to Ms Dragana Esser (email esser<στο>iam.unibe.ch). You may also send further inquiries to favaro<στο>iam.unibe.ch. We accept applications until the position is filled.

Prof. Dr. Paolo Favaro
Computer Vision Group

Neubrückstrasse 10
CH-3012 Bern

Tel. +41 (0)31 631 44 51 (office)
Tel. +41 (0)31 631 49 14 (secretary)

favaro<στο>iam.unibe.ch
www.cvg.unibe.ch