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The Faculty of Linguistics, Philology and Phonetics is seeking to recruit a Postdoctoral Research Assistant (PDRA) to support Professor Aditi Lahiri’s project 'Pertinacity', for which an EPSRC grant
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The Phonetics Laboratory is seeking to recruit a Postdoctoral Research Associate to carry out research on the effects of long-term language contact on prosody and other phonetic phenomena, with
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on evaluating the abilities of large language models (LLMs) of replicating results from the arXiv.org repository across computational sciences and engineering. You should have a PhD/DPhil (or be near completion
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to the 4th February 2026. You will be investigating the safety and security implications of large language model (LLM) agents, particularly those capable of interacting with operating systems and external APIs
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programming language. Experience of working directly with students, and in university settings would be desirable. You will be required to upload a supporting statement, a CV, and details of two referees as
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Research Assistant on Session Types: Theory and Programming Semantics Fixed-term until 30 September 2026 to start from 1 October 2025 Grade 06: £34,982-£40,855 per annum inclusive of Oxford University weighting We are excited to offer this fixed-term Research Assistant position at the University...
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with the possibility of renewal. This project addresses the high computational and energy costs of Large Language Models (LLMs) by developing more efficient training and inference methods, particularly
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) information-theoretic active learning, and c) capturing uncertainty in deep learning models (including large language models). The successful postholder will hold or be close to the completion of a PhD/DPhil in
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, and enabling data-driven improvements in patient care. You will have opportunities to apply foundation models—including large language models (LLMs) to real-world clinical data. You will work with well
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concept of agents has come to the fore again, prompted by the rise of Large Language Models (LLMs) – put crudely, the idea is to use LLMs, in the sense of being powerful general purpose intelligent systems