About this role
About the Role We are pleased to offer a Postdoctoral Research Assistant post under the supervision of Prof Maria Liakata in the context of the RAi UK/UKRI funded Keystone project on Addressing socio-technical limitations of Large Language Models (LLMs), particularly for medical and social computing https://adsolve.github.io/). The current role involves augmenting LLMs with temporal reasoning and the ability to perform longitudinal predictions with multi-modal data. For details see the project website and in particular workstreams 3 and 5.
About You Candidates must have a PhD (or close to completion) in Natural Language Processing. Prior work on temporal and longitudinal modelling and fine tuning of LLMs is essential while experience in working on explainability of NLP, multi-modal methods and evaluation of LLMs is desirable.
Candidates are kindly requested to upload documents totalling no more than 10 pages; certificates, references and research papers should not be provided at this stage.
About the School of EECS Our researchers work with the arts and sciences collaborating with psychologists, biologists, musicians and actors, mathematicians, medical researchers, dentists and lawyers. As a multidisciplinary School, we are well known for our pioneering research and pride ourselves on our world-class projects. We are equal first in the UK for the impact of our Computer Science research, and second in the country for our Electronic Engineering research output (REF 2021).
About Queen Mary Throughout our history, we have fostered social justice, improved lives through academic excellence, and we continuously embrace diversity of thought in everything we do. We believe that when views collide, disciplines interact, and perspectives intersect, truly original thought takes form.
Benefits We offer competitive salaries, pension scheme, 30 days’ leave per annum (pro-rata for part-time/fixed-term), a season ticket loan scheme and access to a comprehensive range of personal and professional development opportunities. In addition, we have a range of work-life balance and family-friendly, inclusive employment policies, as well as flexible working arrangements.
Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a disability. We have policies to support our staff throughout their careers, including arrangements for those who wish to work flexibly or on a job share basis, and we provide support for those returning from long-term absence. We particularly welcome applications from under-represented (BAME) groups, and from women in all stages of life, including pregnancy and maternity leave.