Fully Funded PhD in Automatic Control, Federated Learning, and Open 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 multi-agent systems , with a strong emphasis on optimization , networks , and computational methods. This opportunity is well suited to candidates interested in control theory, machine learning, and applied mathematics, especially those with programming experience in Python or MATLAB . Eligibility: ap...

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...