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 a Master’s degree in
informatics, statistics, physics, engineering or other quantitative areas. Very
good spoken and written English skills required. Application deadline 15th
September 2013.
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 a Master’s degree in
informatics, statistics, physics, engineering or other quantitative areas. Very
good spoken and written English skills 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
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.
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: The studentship is open to applicants of any
nationality.
Countries: The studentship is open to applicants of any
nationality.
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.
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.
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.
– 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.
How to Apply: The mode
of applying is online.
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.
may be extended at the discretion of the recruiting committee until an adequate
candidate is selected.
