PhD Studentship in Robust Learning of Bayesian Networks in Switzerland

Swiss National Science Foundation (SNSF) is funding full time position as PhD student in the area of robust learning of Bayesian networks at the Department of Innovative Technologies (DTI), Dalle Molle Institute for Artificial Intelligence (IDSIA). Studentship covers attractive salary, in line with Swiss standards. Applicants must have Master’s degree in informatics, statistics, physics, engineering or other quantitative areas. Very good spoken and written English skills in required. Application deadline 15th September 2013.

Study Subject(s): The studentship is awarded in robust learning of Bayesian networks at University of Applied Sciences and Arts of Southern Switzerland.

Course Level: This position is for pursuing PhD at Dalle Molle Institute for Artificial Intelligence in Switzerland.

Scholarship Provider: Swiss National Science Foundation (SNSF)

Scholarship can be taken at: Switzerland

Eligibility: 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.

Scholarship Open for Students of Following Countries: PhD Studentship is open for Switzerland applicants.

Scholarship Description: The Dalle Molle Institute for Artificial Intelligence, 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. It includes theoretical advances in robust (structure and parameter) learning of probabilistic graphical models, as well as design and development of algorithms.

Number of awards offered: Not Known

Duration of award(s): Not Known

What does it cover? A position funded by the Swiss National Science Foundation (SNSF).

- An international working environment (English is the official language) in close collaboration with experts in probabilistic graphical models, robust learning, data mining, optimization, imprecise probabilities.

- The possibility of attending conferences.

-An attractive salary, in line with Swiss standards.

Selection Criteria: Not Known

Notification: Not Known

How to Apply: The mode of applying is online.

Scholarship Application Deadline: The closing date for applications is 15th September 2013. This deadline may be extended at the discretion of the recruiting committee until an adequate candidate is selected.

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