Alternance - Optimisation Mathématique Appliquée Aux Problèmes De Télécom Spatiales - H/f

THALES

Toulouse, France
Np-difficult problems
Combinatorial optimization
Constraint programming (ppc)
You will help improve methods used to solve satellite telecommunications problems by updating PPC and MILP methods

Job Summary

  • You will help improve methods used to solve satellite telecommunications problems by updating PPC and MILP methods.
  • You will integrate a dynamic and passionate team of 30 people within the System Simulation Tools (SST) team.
  • This role offers the opportunity to discover industrial development in the space sector and apply academic knowledge.

Matching Summary

You will help improve methods used to solve satellite telecommunications problems by updating PPC and MILP methods.

Skills & Requirements

Must-have

  • NP-difficult problems
  • Combinatorial optimization
  • Constraint Programming (PPC)
  • Mixed Integer Linear Programming (MILP)
  • Satellite system engineering

Nice-to-have

  • Industrial development context
  • Teamwork and communication
  • Scientific rigor
  • Analysis and synthesis skills

Key Requirements

  • Engineering school or equivalent
  • 2 to 3 years internship duration
  • Optimization and algorithmics focus

Work Rights

Not specified

Tailored Resume

Cover Letter