Postdoctoral Research Assistant in Machine Learning

University of Oxford; Packmoor; In loco; GBP 42.000 - 54.000; Tempo pieno

Descrizione del lavoro

University of Oxford's Torr Vision Group within the Department of Engineering Science invites applications for a full-time Postdoctoral Research Assistant in Machine Learning. The fixed-term appointment is for 1 year and focuses on interpretability, safety, and alignment of ML systems, with emphasis on RAG, LLMs and agentic architectures for generative tasks.

The successful candidate will manage their own research program and collaborate with policymakers to apply empirical safety research for

Competenze

• PhD or near completion in Machine Learning.
• Knowledge of RAG, LLMs and agentic systems.
• Ability to manage own academic research and related activities.

Mansioni

• Manage your own research program and associated activities.
• Collaborate with policymakers to apply empirical safety research for AI governance.

Descrizione del lavoro

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.

Additional actions

Robotics, Nano-technology, Linux): Machine Learning, Large Language Models, AI Safety