3 machine learning positions at Ecole Nationale Supérieure des Mines de Saint Etienne in France

Post-doc : « Towards sustainable AI: Measuring the Computational Cost of Deep Learn-ing » – 18-month contract

ENFIELD. Mines Saint-Étienne conducts research on sustainable AI from the angle of computational cost of machine learning and lifecycle assessment of AI systems. Scientific challenges: Language models and

PhD: « Sustainability and Explainability through Learning on Large Knowledge Graphs » – 36-months contract

of Informatics, Modeling and System Optimization (LIMOS, UMR 6158) is opening a PhD position in knowledge representation and machine learning, to work at the intersection of digital technologies and sustainable

Post-doc position in Data Science and Statistical learning for quality control in medical device manufacturing - 12-month fixed-term contract

be the focus of subsequent phases of work, depending on the duration and feasibility of the study. Selection of the state-of-the art machine learning methods that best fit the data selected