PhD Position F/M Decision dependent in optimization under uncertainty

Contexte et atouts du poste

This thesis is proposed within the context of project DDROP (Decision Dependent Robust Optimization Problems) funded by ANR (Agence Nationale de la Recherche) under the grant number ANR-24-CE48-3565.

This is a multi-partner project between Inria-Bordeaux, Essec Business School-Paris and LIRMM laboratory of Montpeliier.

The recruited person will integrate team EDGE of Inria-Bordeaux and work closely with Ayse N. Arslan and Boris Detienne which will assume the supervision of the thesis.

The project will involve regular online meetings with partners. Research visits to Paris and/or Montpellier can be envisioned.

Mission confiée

The recruited person will collaborate closely with Ayse Arslan (research scientist) and Boris Detienne (associate professor).

They will be in charge of studying the state of the art, proposing and developing novel methodologies, developing algorithmic prototypes, performing numerical tests and diffusing the results.

Principales activités

Main activities :

• Literature review
• Methodological development
• Algorithmic development
• Scientific diffusion

Complementary activities :

• Participation in teaching and diffusion activities

Compétences

• Knowledge in following fields is required:
  • Linear and Mixed-integer linear programming
  • Coding in C++,Julia or Python
• Knowledge in one or more of the following fields is desired:
  • Decomposition methods such as Dantzig-Wolfe or Benders' decomposition
  • Stochastic programming
  • Robust optimization
• Great written and oral communication skills

Avantages

• Subsidized meals
• Partial reimbursement of public transport costs
• Possibility of teleworking and flexible organization of working hours
• Professional equipment available (videoconferencing, loan of computer equipment, etc.)
• Social, cultural and sports events and activities
• Access to vocational training
• Social security coverage

Rémunération

2300€ / month (before taxs)