UE07: £41,064 - £48,822 per annum
CSE / School of Informatics
Full Time: 35 hours per week
Fixed term: 14 Months
Vacancies available: 5
The School of Informatics at the University of Edinburgh invites applications for several Post-Doctoral Research Associates (PDRAs), to do research on novel architectures for Large Language Models, under the supervision of Professors Frank Keller, Mirella Lapata, Amos Storkey, and Ivan Titov.
The Opportunity
Five positions are part of the Science of Fundamental AI Research (SOFAIR) Lab, a partnership between UCL and the Universities of Cambridge, Edinburgh, and Oxford. SOFAIR is one of two new national AI research labs funded as part of a £60 million investment from UK Research and Innovation (UKRI). SOFAIR will bring together researchers from across computer science, mathematics, statistics and neuroscience to explore new AI architectures and those designed to run on widely available hardware. This will mean cutting-edge AI will be more widely accessible for everyone, including researchers and institutions.
The PDRAs will be part of the School of Informatics, University of Edinburgh, which is ranked among the top schools in Europe for AI research according to CSRankings They will be supervised by Professors Frank Keller, Mirella Lapata, Amos Storke, and Ivan Titov, who are leaders in NLP, machine learning, and cognitive modeling. The job holders will collaborate closely with the SOFAIR partners at UCL, Cambridge, and Oxford.
The PDRAs will be responsible for developing new fundamental AI modelling and learning methods that go beyond standard transformers and next-token prediction. The work will explore modular, compositional and compute-adaptive models, including architectures and learning paradigms inspired by neurobiology. The work will also investigate sparse or structured reasoning and new training approaches, such as reinforcement-learning hybrids and gradient-free methods. A central goal of SOFAIR is to improve reasoning, efficiency and interpretability while enabling training and inference across heterogeneous, distributed, small-memory hardware. Specific duties will include designing and implementing novel model architectures, developing scalable training algorithms, and conducting controlled experiments to evaluate reasoning, efficiency, interpretability, and generalisation. The post holders will train and benchmark large models using multi-GPU and distributed-computing infrastructure, including the IsambardAI supercomputer, and will be expected to develop robust research code, analyse model behaviour, and disseminate findings through publications and presentations.
These positions include funding for international travel to attend conferences as well as a dedicated compute allocation on IsambardAI, the UK’s national AI supercomputer comprising over 5000 Nvidia GH200 GPUs. The position is open to UK and international applicants, with visa sponsorship available. This post is advertised as full-time (35 hours per week); however, we are open to considering part-time or flexible working patterns. We are also open to considering requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular on-campus working.
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How to apply
Please include the following documents in your application:
Applications without the above material will be rejected.
As a valued member of our team, you can expect:
Championing equality, diversity, and inclusion:
The University of Edinburgh holds a Silver Athena SWAN award in recognition of our commitment to advance gender equality in higher education. We are members of the Race Equality Charter, and we are also a Stonewall Proud Employer, actively promoting LGBTQ+ equality.
We welcome applications from all qualified candidates and particularly encourage applications from [insert demographic(s)] candidates, as we acknowledge they are currently underrepresented in our area/team/at this level.
Prior to any employment commencing with the University, you will be required to evidence your right to work in the UK. Further information is available on our right to work webpages(opens new browser tab)
The University may be able to sponsor the employment of international workers in this role. This will depend on a number of factors specific to the successful applicant.
Key dates to note:
The closing date for applications is 7 September 2026.
Unless stated otherwise the closing time for applications is 11:59pm UK time. If you are applying outside the UK the closing time on our adverts automatically adjusts to your browsers local time zone.
Interviews will be held on a rolling basis.
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