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– specifically focusing on “360 cameras” as the main sensor modality. The works will develop multi-session visual SLAM pipelines and feed-forward reconstruction (e.g. VGGT, MapAnything) to project rich 3D
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on the mathematical theory of deep learning as part of the joint NSF-EPSRC project “DMS-EPSRC: Asymptotic Analysis of Online Training Algorithms in Machine Learning: Recurrent, Graphical, and Deep Neural Networks
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. This project is funded by the European Space Agency (ESA) and is and is fixed-term for 24 months. The project “TMNT – Threat Monitoring Networked Team” will develop multi-robot scouting approaches to explore and
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(http://ori.ox.ac.uk/labs/goals/) within the Oxford Robotics Institute (ORI), as part of the EPSRC Programme Grant in Embodied Intelligence (https://embodiedintelligence.web.ox.ac.uk) and other follow
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). This opportunity is part of a larger strategic alliance between Oxford and Birmingham within an interdisciplinary translational research network, aiming at improving the lives of those suffering with chronic
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significant area of unmet medical need globally. Find out more about the Lanyon-Hogg group’s research at: https://www.pharm.ox.ac.uk/research/lanyon-hogg-group The post holder will be responsible for design
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for better training and novel network designs. Low Effective-dimensional Learning Models. We will extend foundational theory of how large ML systems can be regularised to have dramatically fewer trainable
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November and December 2026. The project involves collaboration with the PI Prof. Paul Goldberg, and collaborators at King's College London. The project web page is at https://www.cs.ox.ac.uk/people
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: exact diagonalization, Monte Carlo, and where appropriate, tensor network techniques. The postholder should also have a broad familiarity with the theory of strongly correlated systems and excellent oral
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application. Please see the University pages on the application process at https://www.jobs.ox.ac.uk/application-process The closing date for applications is 1 October 2026.