Mohamed Zagour

PhD opportunity at Euromed University of Fes in green hydrogen , artificial intelligence , physics-informed neural networks , scientific machine learning , and water electrolysis . The project is titled Hybrid Physics-Informed Artificial Intelligence Approaches for Modeling and Optimization of Green Hydrogen Production Systems via Water Electrolysis . It focuses on multi-physics mathematical modeling of electrolysis systems, PINNs, numerical simulation, high-performance computing, parameter estimation, system optimization, and digital twins for next-generation hydrogen technologies. The position is supervised by Prof. Mohamed Zagour , Associate Professor at Euromed University of Fes (UEMF) . The post states that the PhD is fully funded and includes a competitive doctoral scholarship of 5,000 MAD per month throughout the program, subject to UEMF regulations and project funding. Eligibility highlights: applicants should have a Master’s degree in Applied Mathematics, Computational Science, Artificial Intelligence, Computer Science, Energy Engineering, or a related field. A strong background in mathematical modeling, numerical methods, scientific computing, or machine learning is preferred. How to apply: submit your application through the UEMF Doctoral Studies (CEDOC) online application platform using the provided link. No deadline is mentioned in the post.

Funded PhD opportunity at Euromed University of Fès, Morocco in Artificial Intelligence, Applied Mathematics, and Computational Cardiology . The doctoral project is titled “Artificial Intelligence, Mathematical Modeling and Structure-Preserving Numerical Simulation of Cardiac Electrophysiology” and sits at the intersection of applied mathematics, numerical analysis, artificial intelligence, and biomedical sciences. Research themes include mathematical modeling of cardiac electrophysiology using monodomain and bidomain equations, development of stable and structure-preserving numerical methods, AI and Physics-Informed Neural Networks (PINNs) for cardiac modeling, AI-assisted parameter estimation and model calibration, reduced-order modeling, and computational investigation of electrical-wave propagation and arrhythmia-related dynamics. Eligibility : applicants should hold a Master’s degree or equivalent in Applied Mathematics, Numerical Analysis, Computational Mathematics, Mathematical Biology, Scientific Computing, Biomedical Engineering, or a related field. A strong background in differential equations, numerical methods, or mathematical modeling is desirable. Experience with Python, MATLAB, machine learning, or scientific computing is an advantage. Funding : the PhD is offered with a scholarship, subject to the applicable doctoral program conditions. Supervision : Prof. Mohamed Zagour (Euromed University of Fès, Morocco) and Prof. Jad Dabaghi (ESILV, France). How to apply : submit your application through the official CEDOC doctoral application portal. Please consult the portal for application requirements, deadlines, and scholarship conditions.