PhD Position in Optimization, Machine Learning, and Statistical Methods for Stopping Rules for Least-Mean Squares via Anytime-Valid Confidence Sequence Inria in France

Inria is advertising a PhD position titled “Estimation de la performance du gradient stochastique” within the SIERRA team at the Centre Inria de Paris . The research theme is optimization, machine learning, and statistical methods , with the assignment focused on statistics and machine learning . This opportunity is aimed at candidates with a graduate degree or equivalent , and the post highlights a Master in machine learning as the key skill/success factor. The supervisor listed is Francis Bach...

Inria is recruiting a Post-Doctoral Research Visit in AI auditing, AI security, machine learning theory, and information gain at the Inria Centre at Rennes University in France . The project sits at the intersection of black-box model auditing , model fingerprinting , adversarial ML , and offensive/defensive AI security . The research goal is to build a hierarchy of attacks and audits based on distinguishability and property testing , helping bridge the gap between legal auditing of deployed AI ...

Inria is advertising a Post-Doctoral Research Visit in Topology Design for Decentralized Federated Learning within the NEO project-team and the broader FedMalin research initiative. The project sits at the intersection of computer science , mathematics , machine learning , optimization , network science , and privacy . The research focuses on designing communication topologies for decentralized / peer-to-peer federated learning, balancing convergence speed and communication cost, and studying bo...

Inria is advertising a postdoctoral research visit in distributed machine learning at the network edge within the NEO and COATI teams at the Inria Centre at Université Côte d’Azur in Sophia Antipolis, France . The position is part of the EU-funded dAIEDGE network of excellence on distributed, trustworthy, efficient, and scalable AI at the edge. The research themes include distributed inference , online learning algorithms with regret guarantees , distributed/federated learning , and machine lear...

PhD Research Fellow opportunity in fairness in artificial intelligence at the University of Oslo , Department of Informatics, within the Scientific Computing and Machine Learning (SCML) research group. The project focuses on how to formally define, measure, and reconcile different notions of fairness in AI and machine learning. Possible directions include group fairness , theoretical relations between fairness notions , and intersectional fairness , including subgroup fairness, computational com...