(for initially 2
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 firstname.lastname@example.org and email@example.com.
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
- Istituto Dalle
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.