Internship - R&D - Flexibility Driven Industrial Investment for Risk Averse Decision Making Contexts F/M
Air Liquide places diversity at the heart of its activities and is committed in particular to promoting professional equality and the employment of workers with disabilities.
The Paris Innovation Campus (78 - Les Loges en Josas) is Air Liquide's largest R&D center.
It develops innovative solutions for all of the Group's activities. More than 250 researchers work in 48 laboratories equipped with state-of-the-art equipment and experimental platforms, enabling them to explore numerous research
How will you CONTRIBUTE and GROW?
The operations research team of Air Liquide R&D works on diverse optimization and simulation methods to support decision-making on key operational and strategic business objectives.
This internship focuses on developing a decision support framework for strategic capital investment in industrial energy systems, specifically addressing market volatility and future uncertainty for risk-averse decision-makers. An example application is optimizing electric boiler or heat storage sizing for an existing natural gas-fired cogeneration plant. The methods could be extended to hydrogen and oxygen production and storage integrated systems.
The main tasks are:
Formulate a two-stage robust optimization (2-stage RO) model to capture the investment decision (e-boiler / heat or power storage sizes) and subsequent operational decisions under price uncertainty.
Implement and solve the bilevel optimization problem, exploring techniques such as the Column-and-Constraint Generation (C&CG) and compared to alternative decomposition methods.
Quantify the value of generating a cost-robustness Pareto front, and comparing it with deterministic and stochastic optimization methods to provide clear, actionable insights for decision-makers.
Are you a MATCH?
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.
Additional Information
Air Liquide has been awarded the Happy Trainees label.
The internship will be carried out at Campus Innovation Paris, Air Liquide's R&D center in France located in Loges-en-Josas (1, Chemin de la Porte des Loges).
Geographical location: France / Ile de France / 78 - Les loges
Desired start date: Early 2026
Duration of the internship : 6 months
To know more about our company and get some tips to join us, click here
Our Differences make our Performance
At Air Liquide, we are committed to build a diverse and inclusive workplace that embraces the diversity of our employees, our customers, patients, community stakeholders and cultures across the world.
We welcome and consider applications from all qualified applicants, regardless of their background. We strongly believe a diverse organization opens up opportunities for people to express their talent, both individually and collectively and it helps foster our ability to innovate by living our fundamentals, acting for our success and creating an engaging environment in a changing world.