Post-Doctorant F/H Tidal resource assessmen, uncertainty quantification and optimization in the Alderney Race

Postdoctoral research for the ERRABL project of the Maths-Vives PEPR programme, run with Inria Paris and the University of Caen, which aims to make hydrodynamic models of tidal-stream energy more reliable and cheaper to run for the Alderney Race in Normandy, one of Europe's most energetic tidal sites. High-fidelity Telemac3D simulations are accurate but costly and uncertain, so the project builds hybrid model-data approaches and surrogate models that correct physical submodels with data assimilation and machine learning, quantify uncertainty in annual energy production and optimise turbine-array layouts.

Hired by Inria and based at the Institut Jean Le Rond d'Alembert of Sorbonne University, the postdoc develops data-driven homogenised models of farm-scale wake effects, learned from actuator-disk simulations and measurements, to evaluate array configurations quickly and robustly.

A PhD or equivalent with three to five years of experience, and English. Twelve-month fixed-term contract starting 1 January 2027. Applications are submitted online on the Inria website.