We are seeking a full-time Postdoctoral Research Assistant in Machine Learning to join Torr Vision Group at the Department of Engineering Science (central Oxford). The post is fixed-term for 1 year.
This is an interdisciplinary research project aimed at advancing the interpretability, safety, and alignment of machine learning systems. We seek candidates with expertise into the use, extension and optimization of large language models (LLMs) and related architectures for generative tasks, continuous learning, indexing or retrieval, support of retrieval augmented generation over many data points from long term histories, automatic extraction of relevant data from noisy, multimodal observations.
This role offers the opportunity to develop new techniques for interpretable, safe, and socially beneficial AI while engaging with policy proposals and governance for responsible AI development. We seek researchers passionate about steering AI progress towards transparent, ethical, and human-aligned systems. There will be close collaboration with policymakers to apply empirical safety research for AI regulation and governance.
You should possess a PhD or DPhil (or near completion of) in Machine Learning. You should have knowledge of approaches for areas related to RAG, LLM, Agentic systems. You should have the ability to manage your own academic research and associated activities.
For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/
Only online applications received before midday on 6th August 2026 can be considered.
The Department holds an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology.
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Robotics, Nano-technology, Linux): Machine Learning, Large Language Models, AI Safety
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Postdoctoral Research Assistant in Machine Learning employer: University of Oxford
The Department of Politics and International Relations at the University of Oxford is an exceptional employer, offering a collaborative and intellectually stimulating environment where finance professionals can thrive. With a commitment to equality, diversity, and inclusion, along with generous benefits such as 38 days of annual leave and a robust family leave scheme, employees are supported in both their professional and personal lives. This role not only provides the opportunity to influence strategic financial decisions within a world-renowned department but also fosters continuous growth and development in a vibrant academic community.
