5 Education positions at IFP Energies nouvelles (IFPEN) in France

PhD in Data Science: Real-Time Data-Driven Modeling of Road Traffic Pollutant Emissions and Atmospheric Concentrations at an Urban Scale

simulations, which can represent significant computational time. To address this, we plan to introduce deep learning algorithms to develop accelerated models for determining pollutant concentrations in

Towards a better understanding of subsurface microbial hydrogenotrophic activities using synthetic consortia

numerical modeling. This postdoctoral subject is harbored by the WP3 of HyStorEn project entitled “Experimental and theoretical analysis of the dynamics of bacterial populations”. The aim is to develop models

PhD position at IFP Energies nouvelles (IFPEN) in Earth sciences, geomechanics Graded damage approach for modelling of fractured regions in subsurface

brings together Universities and Research Centres with the end goal of improving current knowledge of the physics of coupled phenomena in the subsurface. Key target of the project is to develop a unique

PhD in Applied Mathematics: Neural Linear Solvers and Preconditioners for General Sparse Matrices

adjacency matrix of a graph 𝒢, where the edges represent the coefficients a_{ij} for i ≠ j, and the nodes represent the coefficients a_{ii}. We then train a Graph Neural Network (GNN) to predict without

Acceleration of Newton-like methods for nonlinear systems by preflattening techniques

training center. Its mission is to develop efficient, economical, clean and sustainable technologies in the fields of energy, transport and the environment. For more information, see our WEB site . IFPEN