Post-doctorant – Projet REVGEOIA : Développement d'algorithme d'intelligence artificielle pour l'optimisation de revêtement géopolymère pour antennes Université de Limoges in France

Mila’s annual supervision request process is open for MSc and PhD applications for Fall 2027 admission . This opportunity is centered on deep learning , artificial intelligence , and machine learning research within the Mila community in Canada. The post encourages prospective students to apply to join Mila’s research environment and follow the supervision request guidelines. Important note: Yoshua Bengio states that he will not be taking on new students for supervision this cycle, so this is a ...

Postdoctoral Researcher opportunity at the University of Delaware in the Center for Clean Hydrogen , focused on AI/ML , laboratory automation , robotics , polymer chemistry , and materials science . The project is part of the Center’s AEM Moonshot effort to discover anion exchange membranes (AEMs) with improved hydroxide conductivity and chemical durability. The researcher will help build a closed-loop discovery platform that connects automated experiments, data acquisition, analysis, predictive...

Fully funded PhD opportunity in Graph Signal Processing and Graph Machine Learning at Télécom Paris, Institut Polytechnique de Paris . This opening is aimed at candidates interested in research at the intersection of computer science , machine learning , mathematics , and signal processing . The post highlights a fully funded PhD in Palaiseau, France , with an application deadline of 31 December 2026 . Relevant research themes include graph-based learning, signal processing on graphs, AI methods...

This postdoctoral project at CNRS focuses on dielectric metasurfaces for single-photon sources in the context of quantum nano-optics. The work aims to design and optimize high-index periodic metasurfaces that can strongly control the emission of quantum emitters, including their directionality, polarization, and spectral properties. The project combines numerical modelling , deep-learning-based inverse design , and experimental validation . A major part of the research is the extension of the to...

This postdoctoral project at CNRS focuses on the security evaluation of nondeterministic hardware primitives, especially Physical Unclonable Functions (PUF) and True Random Number Generators (TRNG) based on emerging spintronic technologies . The recruited researcher will develop a predictive methodology to characterize and estimate the security, reliability, and robustness of these devices by combining physical device modeling , machine learning , and experimental validation . The work emphasize...