The Dalle Molle Institute for Artificial Intelligence
(www.idsia.ch; University of Lugano/SUPSI) opens a
full-time position as Ph.D. student in the area of
sampling-based algorithms for stochastic combinatorial
optimization problems in transportations and logistics.
Duties
- Design, analysis and implementation of algorithms and
data structures, with a special focus on sampling-based
algorithms for stochastic combinatorial optimization
problems, improving the state-of-the-art in the research
field.
- Moderate teaching duties.
Requirements
- Master Degree in Computer Science, Applied Mathematics
or related areas (obtained or close to be obtained).
- Background in Algorithms design
- Background in Operations Research
- Computer programming skills
- Proficiency in written and spoken English.
We offer
- Fixed-term position for 2 years, with possible extension
of further 2 year.
- Attractive salary, in line with Swiss standards (roughly
50000 CHF per year, low taxes).
- International working environment.
- Generous travel support to attend high quality
conferences and workshops.
Deadline: July 8th 2016
For application and questions please contact
Prof Roberto Montemanni,
roberto.montemanni@supsi.ch
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