PhD position – Machine Learning and Decomposition Techniques for Large-scale Multi-objective Optimization

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 bilel.derbel@univ-lille.fr and to arnaud.liefooghe@univ-lille.fr
– 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

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