2 machine-learning-phd positions at IFP Energies nouvelles (IFPEN) in France

Post-Doc in Computational chemistry applied to heterogeneous catalysts

smart methodology (including machine learning) will be established to screen various dopants for MoS2 catalysts and identify potential materials with improved selectivity and activity. Context: The post

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

. The objective of this work is therefore to accelerate the convergence of preconditioned linear system resolution through Machine Learning. Two main approaches will be investigated especially for the coarse