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.Schmid@inrialpes.fr and 
Jakob.Verbeek@inrialpes.fr

References:

- Website LEAR  http://lear.inrialpes.fr
- Website CLASS http://class.inrialpes.fr