Country France City PALAISEAU Workplace location PALAISEAU-LE NEXT(FRA) Domain Research Innovation&Developpt Type of contract Regular position Experience Minimum 6 years Candidate Profile

You have at least 5 years of experience in operational research and optimization technics (MILP/MINLP, GA, PSO…), Energy system modelling, 

You will justify of several experiences in project management (especially related to research activities and code development)

Programming(Mandatory experiences in Python)

You have excellent communication skills (able to communicate easily in 

Activities You will develop new optimization methods to tackle the new projects related to a wide range of business applications (Asset Decarbonization, Green H2 production, Grid connected assets)You will propose and implement new features to improve the general robustness and efficiency of the source codeYou will contribute to the framing and management of business case studies in collaboration with technical engineers and business project manager.You will take charge of activities related to the industrialization of the software and actively participate into its deployment within the company.You will actively participate in the definition and implementation of the communication strategy around the software aiming at expanding the awareness and the use of it to current and potential new users / contributors.You will lead collaboration activities with other R&D entities to use or contribute to the models (EMS development, market modelling, REN forecast modelling, ...)You will lead new research activities around optimization modelling and strategies (multi-level optimization, non-linear optimization, uncertainty management …) to improve or expand the capabilities of the software. Context & Environment

You will join the Hybrid & Storage R&D team which provides help to Business Units and other teams to optimize the sizing and control strategies of hybrid systems for a wide range of applications (Asset Decarbonization, Green H2 production, Grid connected assets).  In this context, a project has been launched to research and develop optimization algorithms to size and operate these complex systems, capitalize works done on modelling technologies within such energy systems, to develop and industrialize an in-house software, and ultimately provide support to actual business projects. This project is now entering a phase of new phase of its development aiming at industrializing and expanding its use throughout the company.