IDSIA - Istituto Dalle Molle di Studi sull'Intelligenza Artificiale, Manno-Lugano, Switzerland

PostDoc Position in medical image/videostream automatic classification

(for initially 2 years)
(supported by CTI - Swiss Commission for Technology and Innovation )
Starting October 2008 (application deadline September 5th 2008).

Istituto Dalle Molle di Studi sull'Intelligenza Artificiale (IDSIA, www.idsia.ch) invites applications for a PostDoc position.

IDSIA is involved in "IN3 : INtelligent INvitro INcubator" project that requires expertise in medical image and medical video analysis.

The project has the goal to automate the in vitro fertilization (IVF) process developing a new incubator with new internal equipments and new software tools. In particular IDSIA has to develop automatic classification systems able to classify status of embryos based on their images and video streams taken in various stages of their in vitro growing process.

Salary commensurate with experience. Postdoc: ~ SFR 72,000 / year (~ US$ 70,000 / year as of 5 August 2008). Low taxes.

Start: now or soon .

Submit your CV and a list of 3 references and their email addresses to cinzia@idsia.ch and luca@idsia.ch.

Do NOT send large files; instead send URLs. In the subject header, mention your name and the keyword IN3-2008.

For example, if your name is Jo Mo, use subject: Jo Mo IN3-2008

Prof. Luca Maria Gambardella
IDSIA, Istituto Dalle Molle di Studi sull'intelligenza Artificiale
Galleria 2,6928 Manno (Lugano), Switzerland.
email: luca@idsia.ch
www.idsia.ch/luca

APPLICATION DEADLINE:

Position will be filled as adequate candidate will become available. However, we suggest applying before September 5th 2008. We guarantee that the selection process, based solely on the research records, will give equal opportunities to female and male researchers.

IDSIA - Istituto Dalle Molle di Studi sull'Intelligenza Artificiale, Manno-Lugano, Switzerland

IDSIA was the smallest of the world's top ten AI labs listed in the 1997 "X-Lab Survey" by Business Week magazine, and ranked in fourth place in the category "Computer Science - Biologically Inspired". IDSIA's most important work was done after 1997 though. IDSIA has strong ties to the TU Munich lab of cognitive robotics at TUM Computer Science.

IDSIA is small but visible, competitive, and influential. For example, its Ant Colony Optimization Algorithms broke numerous benchmark records and are now widely used in industry for routing, logistics etc. (today entire conferences specialize on Artificial Ants). IDSIA is also the origin of the first mathematical theory of optimal Universal Artificial Intelligence and self-referential Universal Problem Solvers (previous work on general AI was dominated by heuristics). IDSIA's artificial Recurrent Neural Networks learn to solve numerous previous unlearnable sequence processing tasks through gradient descent, Artificial Evolution and other methods. Research topics also include complexity and generalization issues, unsupervised learning and information theory, forecasting, learning robots. IDSIA's results were reviewed not only in science journals such as Nature, Science, Scientific American, but also in numerous popular press articles in TIME magazine, the New York Times, der SPIEGEL, and many others.