AI Wind Field Digital Twin for Next-Gen Farm Optimization

IFP Energies Nouvelles Group; Rueil-Malmaison; Sur place; EUR 35 000 - 40 000; Plein temps

Résumé du poste

IFP Energies Nouvelles Group invites applications for a doctoral contract focused on AI-powered wind field modeling to optimize wind farm design. You will develop generative models capable of reproducing in seconds what high-fidelity simulations compute in hours, advancing feasibility studies and turbine placement decisions.

Under supervision from CNRS/Météo-France and IFPEN experts, you will apply PDEs and machine learning (PyTorch) to encode turbulent physics, with English at B2 level and

Qualifications

• Required skills: Applied mathematics (PDEs, modelling), machine learning, and ability to work across disciplines.
• Academic requirements: MSc in Mathematics and/or Computer Science, or equivalent engineering degree.
• Language requirements: English level B2 (CEFR).

Connaissances

Applied mathematics

Machine Learning

multidisciplinary collaboration

Formation

MSc in Mathematics and/or Computer Science, or equivalent engineering degree

Outils

PyTorch

Description du poste

IFP Energies Nouvelles Group invites applications for a doctoral contract focused on AI-powered wind field modeling to optimize wind farm design. You will develop generative models capable of reproducing in seconds what high-fidelity simulations compute in hours, advancing feasibility studies and turbine placement decisions.

Under supervision from CNRS/Météo-France and IFPEN experts, you will apply PDEs and machine learning (PyTorch) to encode turbulent physics, with English at B2 level and