Fully Funded PhD in Automatic Control, Federated Learning, and Multi-Agent Systems Université de Lorraine in France

Fully funded PhD position in Automatic Control at Université de Lorraine , France, within the CRAN, Control Identification Diagnosis (CID) Department . The project focuses on federated learning and open multi-agent systems , making it a strong fit for candidates interested in control theory, optimization, networks, machine learning, and distributed intelligent systems. Eligibility: MSc or engineering degree in Automatic Control, Machine Learning, Optimization, or Applied Mathematics. Applicants ...

PhD position in automatic control at Université de Lorraine in Nancy, France, within the Control Identification Diagnosis (CID) Department, CRAN . The project focuses on heterogeneity in federated learning using an open multi-agent systems approach, bringing together ideas from control theory, machine learning, optimization, and applied mathematics. Eligibility: applicants should hold a Master's or engineering degree in automatic control, machine learning, optimization, or applied mathematics, a...

PhD opportunity at Mines Paris-PSL, Centre PERSEE / ERSEI group, in Sophia Antipolis, France. The thesis is titled Privacy-Preserving Federated Predictive Operation of Multi-Energy Systems and focuses on multi-energy systems, federated learning, privacy-preserving AI, predictive analytics, prescriptive analytics, multi-agent systems, and distributed optimization. The project addresses the coordinated operation of coupled electricity, thermal, and gas/hydrogen networks in settings such as energy ...

Ph.D. opportunity at Georgia Southern University in research areas spanning control theory and systems , applied mathematics , optimization , machine learning , robotics , and autonomous systems . The post says the recruiter is looking for a Ph.D. student to join a research group and is especially interested in candidates with strong mathematical and analytical skills who want to work at the intersection of control, learning, optimization, and autonomous systems. Eligibility: a completed Master'...

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...