Research positions in computer vision at Xerox
The Textual and Visual Pattern Analysis group of the Xerox Research Centre Europe (XRCE) is looking for two researchers in the field of computer vision. The successful candidates will contribute – in collaboration with the rest of the team – to the invention, development and benchmarking of computer vision technologies such as image classification, image retrieval, object localization, etc. in both images and videos. The potential areas of application of the developed technology will include transportation (e.g. tracking, counting and classifying vehicles) and retail (e.g. detection and classification of products on shelves).
Requirements:
• Ph.D. degree in computer vision or machine learning.
• Excellent publication record in major computer vision / machine learning / multimedia conferences and journals.
• Strong development skills, preferably in C/C++.
• Fluent in written and oral English.
• Highly motivated.
Team and center: The Textual and Visual Pattern Analysis group specializes in understanding, organizing, retrieving and enhancing visual and hybrid content. We have extensive experience and state-of-the-art systems in image categorization, image retrieval, image enhancement, quality / aesthetic assessment and document image processing. Our technology has won numerous awards in public competitions such as the PASCAL Visual Object Challenge, ImageCLEF or the ImageNet Large Scale Visual Recognition Challenge.
The Xerox Research Centre Europe is located in Grenoble, in the heart of the French Alps, close to both the Italian and Swiss borders. The centre is part of the global Xerox Innovation Group made up of 650 researchers and engineers in five world renowned research and technology centers.
Starting Date: asap.
Duration: the positions are 12 months post-doc positions. However, we might consider permanent positions for exceptional candidates.
Application instructions: please send your CV, cover letter as well as the name of at least one reference to both xrce-candidates@xrce.xerox.com and florent.perronnin@xrce.xerox.com.
