Internship - R&D - Flexibility Driven Industrial Investment for Risk Averse Decision Making Contexts F/M

Air Liquide is seeking an internship candidate to work on developing a decision support framework for strategic capital investment in industrial energy systems, addressing market volatility and future uncertainty for risk-averse decision-makers.

Requirements

• Final year engineering student / Master 2 in computer science or applied mathematics
• Strong background in applied mathematics: optimization, operations research, and MILP modeling
• Good programming skills: Scientific Python (NumPy, SciPy, etc.), and OR modeling frameworks (e.g., Pyomo)
• Familiarity with robust optimization concepts and solvers (e.g., HiGHS, Gurobi, CPLEX) is a plus