Research Assistant

About the Role

The School of Electronic Engineering and Computer Science seeks to recruit a Research Assistant for the project “Deploying Explainable AI to Reduce Time to Treatment in Trauma”. Working as part of a multi-disciplinary team of medics and paramedics, the research assistant will be responsible for finalising, evaluating, and deploying an existing suite of AI prediction models providing decision support to clinicians treating patients brought to the Royal London Hospital by the London Air Ambulance. The work is preparatory to a multi-centre trial expected to start in 2025.

About You

Applicants must have an Undergraduate Degree (or equivalent) in Computer Science or a related field. A Postgraduate Degree in Computer Science or a related topic is desirable. Candidates must have a good understanding of the use of probabilistic reasoning systems for clinical decision support, preferably in trauma care. As well as a good understanding of the analysis of clinical data, the process of training Bayesian networks and the evaluation of decision-support systems.

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’ve fostered social justice and improved lives through academic excellence and we 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 offer a range of work life balance and family friendly, inclusive employment policies, flexible working arrangements, and campus facilities including an on-site nursery at the Mile End campus.

The post is based at the Whitechapel Campus in London. It is a part-time (17.5 hours per week), fixed term appointment for 8 months or until 31 March 2025, whichever is sooner, with an expected start date of July 2024. The starting salary will be Grade 4, in the range of £36,572 – £37,182 pro rata, inclusive of London Allowance.

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.

Informal enquiries should be addressed to Dr William Marsh at d.w.r.marsh@qmul.ac.uk

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