Optimisation
The Dalle Molle Institute for Artificial Intelligence
(www.idsia.ch) opens a full-time Ph.D. student position in
the areas of Machine Learning and Combinatorial
Optimisation, with applications to optimisation problems
in transportations and logistics.
Duties
- Research work on the application of state-of-the-art
Machine Learning and Deep Learning techniques to
Optimisation problems
- Development of methods in the fast-evolving field of
Machine/Deep Learning for applications in the field of
Optimisation for real logistic problems. (In both fields,
the Institute has a renowned reputation and is active on
several projects already)
- The student will have a significant freedom to explore
these topics and will be closely supervised by prominent
researchers in the areas.
- Moderate teaching duties.
Requirements
- Master degree with full honours, preferably in Applied
Mathematics and/or Computer Science, or alternatively in a
quantitative faculty such as Engineering, Statistics or
similar.
- Excellent programming skills.
- Excellent scientific writing skills.
- Excellent background in Machine Learning and Deep
Learning.
- Excellent background in Combinatorial Optimisation and
Operations Research.
We offer
- Fixed-term position for 3 years, with possible
extensions.
- Attractive salary, in line with Swiss standards (50000+
CHF per year, low taxes).
- International working environment.
- Generous travel support to attend high quality
conferences and workshops.
Applicants should provide the following documents:
1. Curriculum Vitae.
2. List of three references (with e-mail addresses).
3. Letter of motivation.
4. List of taken bachelor and master's exams, with grades.
Deadline: October 19th 2018
For application and questions please contact
Prof Roberto Montemanni - roberto@idsia.ch
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