The Dalle Molle Institute for Artificial Intelligence (IDSIA, http://www.idsia.ch), a non-profit oriented research institute for artificial intelligence, affiliated with both University of Lugano and University of Applied Sciences of Southern Switzerland, advertises a full-time position as PhD student in the area of robust learning of Bayesian networks. The position is funded by the Swiss National Science Foundation.

IDSIA offers an international working environment (English is the official language), the possibility of attending conferences and a salary in line with Swiss standards. The work will be performed in close collaboration with experts in probabilistic graphical models, robust learning, data mining, optimization, imprecise probabilities (see http://ipg.idsia.ch for more information). It includes theoretical advances in robust structure learning of probabilistic graphical models, as well as design and development of algorithms. In order to have a closer look into our research on this topic, we suggest the following paper from JMLR: http://jmlr.org/papers/v12/decampos11a.html

The ideal candidate has a strong commitment to research and to the completion of the PhD program, has obtained a Master degree in a quantitative area, has very good communication skills in English, good programming skills, and ability to work in a collaborative environment. For applying, please follow the instructions available at

http://www.supsi.ch/home/supsi/lavora-con-noi/2013-08-05.html

The closing date for applications is August 5th 2013 (this deadline may be extended at the discretion of the recruiting committee). Expected starting date at the latest in the beginning of 2014. For further information, please contact:

Cassio de Campos (cassio(a)idsia.ch).