PhD in Pure Mathematics for Computational Optimization, Algorithms and Efficiency University of Southampton in United Kingdom

Queen Mary University of London is advertising a funded PhD project in Intelligent Optimisation and Control for Future Power Systems within the School of Electronic Engineering and Computer Science in London, United Kingdom . The project focuses on future power systems that integrate renewable generation, electric vehicles, energy storage, heat pumps, data centres, and other flexible resources. Research will explore network-constrained optimisation , privacy-preserving energy flexibility managem...

Durham University is advertising a fully funded PhD studentship in Efficient Physical AI for Real-World Robotics , supported by Intel. The project sits at the intersection of computer science , robotics , machine learning , computer vision , reinforcement learning , embodied AI , and edge AI . The research aims to develop capable, efficient, deployable Physical AI for real robots. Possible directions include robot foundation models, vision-language-action models, long-horizon reasoning and plann...

Fully funded PhD (DPhil) opportunity at the University of Oxford in AI safety , AI interpretability , and AI governance . The post is from the Technical Safety & Governance (TSG) Lab and highlights research on understanding, evaluating, and controlling advanced AI systems. Example directions include training models to explain themselves and other models, and studying how model behaviours emerge during training so researchers can intervene before undesirable behaviours appear. The announcement al...

Fully funded PhD position in Computer Science at Télécom Paris and Télécom SudParis in France , within the MM Team at LTCI and the ARMEDIA Team at SAMOVAR . The project is part of the PARIS-funded SIGMA initiative and focuses on graph signal processing and graph machine learning . This is a strong fit for candidates interested in computational methods, data-driven modeling, and mathematically grounded machine learning. Eligibility: MSc/M2 or equivalent in computer science, data science, engineer...

PhD opportunity at Eindhoven University of Technology (TU/e) in the Department of Mechanical Engineering , working in the Dynamics and Control group on control theory , scientific machine learning , operator learning , and dynamical systems . The project asks fundamental questions about learned operators: when they admit state-space representations, how stability, contraction, dissipativity, and robustness can be characterized in the operator domain, and how feedforward, feedback, and predictive...