INRIA Visual Recognition and Machine Learning Summer School
Grenoble, France, 9-13 July 2012
Applications closed 1 November 2007
The LEAR research team at INRIA Rhone-Alpes in Grenoble (France) is seeking outstanding postdoctoral researchers to join our lab for one or two years, starting fall 2007 to early 2008. Candidates should have a strong background and interest in Computer Vision or Machine Learning, and ideally both.
The postdoc will work primarily within the EU project CLASS, with focus on learning from loosely annotated images, such as found eg. on web-based image archives such as flickr. The goal is to improve text-based search results by analyzing co-occurrence of tags and visual content, a second goal is the detection of missing tags and erroneous tags.
The LEAR (Learning and Recognition in Vision) team studies methods for recognition and detection of visual categories, as well as large-scale image databases. Many of LEAR projects interface between machine learning and computer vision, investigating generative and discriminative probabilistic models, as well as kernel and boosting methods. Currently our group has 4 full-time staff members (Cordelia Schmid, Bill Triggs, Frederic Jurie, Herve Jegou), 3 postdocs, 2 engineers, 9 PhD students, and several MSc students.
Grenoble is a lively city which hosts many foreign students and researchers. Located in the heart of the French Alps its direct surroundings offer great outdoor recreation including skiing, cycling, and hiking. Paris can be reached from Grenoble in 3h by train.
Candidates should send a CV, and a list of three references electronically to Cordelia DOT Schmid AT inrialpes DOT fr and Jakob DOT Verbeek AT inrialpes DOT fr
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