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Événements à venir

Multiple positions in Operations Research & Machine Learning

Programme d'études visé
Maîtrise avec projet
Maîtrise avec mémoire
Doctorat
Postdoctorat
Domaines de recherche
Systèmes intelligents et autonomes
Capteurs, réseaux et connectivité
Systèmes logiciels, multimédia et cybersécurité
Financement
Available
Autres informations

Date de début du projet : Dès maintenant

Personne à contacter

Fully funded Ph.D. and Master’s positions in Operations Research & Machine Learning are available starting now in the department of Civil Engineering at École de technologie supérieure in Montréal (www.etsmlt.ca). You will work under the supervision of prof. Fausto Errico. Fausto Errico is also member of CIRRELT (www.cirrelt.ca) and GERAD (www.gerad.ca), two worldwide renowned research centres in Operations Research & Machine Learning, also located in Montréal. Opportunities for co-supervisions with other members of these two centres are possible and welcome.

Several research topics are available. The main application fields are: 1) Planning of innovative transit systems, 2) Stochastic and dynamic routing problems arising in Logistics and Transporation and 3) Management of hydropower generation. Generally speaking, the above applications require the solution of hard combinatorial problems featuring stochastic and dynamic aspects.
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As a PhD candidate
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As a Ph.D. candidate you are expected to carry out top-level research to develop efficient solution algorithms for hard combinatorial problems.

Methods include: decomposition strategies for large mathematical programs such as column generation, Benders decomposition, Lagrangean relaxation; implicit enumeration schemes, such as branch- and-cut and branch-and-price; two-stage and multi-stage stochastic programming; stochastic and approximate dynamic programming. Approximate dynamic programming, Reinforcement Learning, and Deep Learning.

You hold a master’s degree in Operations Research, Applied Mathematics, Computer Science or related fields. You must have a strong background in the above-mentioned solution methods. You must demonstrate advanced skills in C/C++ and Phython programming languages and you are at ease with mathematical programming solvers (Cplex, Gurobi etc).

If interested, please send your application to Fausto Errico (fausto.errico@etsmtl.ca). Applications should contain the following material in a single PDF file:
1.    A one-page cover letter explaining your motivations to pursue a Ph.D. in Operations Research in Montréal and indicating your preferred start date
2.    A one-page document explaining your research interests and how they fit in the above-mentioned research themes
3.    Your up-to-date, complete Curriculum Vitae
4.    The copy of your master’s thesis
5.    Transcripts from bachelor’s and master’s degrees
6.    A copy of your publications, if it applies
7.    The names and contact details of one or two academic referees, one of which should be your master’s thesis supervisor
You can apply in English, French, Spanish or Italian. However, you must be fluent in English. Knowledge of French is desirable, but not necessary.

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As Master's candidate
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If you apply to the Master’s program, you are expected to become familiar with at least one of the previously mentioned solution methods. Furthermore, you must demonstrate a good knowledge of C/C++ or Python programming languages. The application package should contain documents 1, 3, 5, from the previous list.
Reviewing of applications will start immediately. Applications are accepted until positions are filled.

Connaissances requises

See the description of the positions