Postdoctoral Research Assistant in Machine Learning

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., The Department holds an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology. Additional Actions : Robotics Nano Technology, Linus, Machine Learning, Large Language Models, AI Safety

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.