[Apologies for cross and multiple postings]
A PhD position on "Machine Learning and Decomposition Techniques for
Large-scale Multi-objective Optimization" is available within the BigMO
France / Hong Kong bilateral project : https://sites.google.com/view/bigmo/
PhD full description: please see attached pdf file -- also available at
https://sites.google.com/view/bigmo/job-offers/
Starting period: September/ October 2018
PhD keywords:
- large scale optimization, machine learning, parallel computing
- multi-objective algorithms, decomposition techniques,
evolutionary algorithms
- algorithm selection, online and offline configuration
Research environment:
- Inria Lille Nord Europe
- University of Lille, CRIStAL, France.
- Supervisors: Bilel Derbel Arnaud Liefooghe
Applications:
- We are seeking for excellent candidates with solid skills in
programming and algorithms in general. Advanced knowledge in
optimization, machine learning, and/or parallel programming will be
highly appreciated. Candidates should provide evidence on their
motivations to achieve the goals of the stated research project, and on
their skills in working in an autonomous manner under our supervision.
Only candidates with excellent communication skills and abilities to
work within an international research environment will be retained.
- The application must be sent to [log in to unmask] and to
[log in to unmask]
- The application should include: Cover Letter with motivation and
background, detailed CV, List of publications if any, Recommendation
Letters if any, information about the candidate (Proof of diplomas,
transcripts of records, etc), any other useful information
--
Bilel Derbel - Associate Professor
Univ. Lille — CRIStAL (CNRS UMR 9189)
BONUS team — Inria Lille - Nord Europe
International Associated Laboratory LIA-MODO, France/Japan
http://www.cristal.univ-lille.fr/~derbel
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