Senior Research Associate (RA2423)
University of East Anglia · United Kingdom
Senior Research Associate position at University of East Anglia, School of Computing Sciences, to develop AI methods for real-time prediction of bathing-water quality. Requires postgraduate qualification or equivalent in Computer Science, Artificial Intelligence, Machine Learning or Data Science, with independent research experience and machine-learning method development skills.
This opportunity has closed.
About this opportunity
Faculty of Science
School of Computing Sciences
Senior Research Associate
Ref: RA2423
Salary on appointment will be £38,784 per annum, with an annual increment up to £46,049 per annum.
An exciting opportunity has arisen for a Senior Research Associate to join the School of Computing Sciences to develop cutting-edge AI methods for the real-time prediction of bathing-water quality. This is an opportunity to work on a highly interdisciplinary research project with significant environmental and public-health impact, developing advanced machine-learning approaches to predict water-quality risks from complex environmental and spatio-temporal data. The project involves partners from Bangor University and the University of Warwick as well as the Norwich Medical School, Environmental and Computing Sciences at UEA.
As a Senior Research Associate, you will play a key role in developing and evaluating novel AI models, including approaches for spatio-temporal prediction and uncertainty estimation. You will contribute ideas and methodological innovations, analyse and interpret complex data, publish research findings and present research progress and outcomes. You will also have opportunities to contribute to grant applications and may be involved in the supervision of researchers and teaching of students within the School.
You will have a postgraduate-level qualification, equivalent qualification or experience in a relevant area such as Computer Science, Artificial Intelligence, Machine Learning or Data Science. You will have experience of independent research and developing machine-learning methods. You will be proactive and results-driven, with strong analytical, interpersonal and communication skills and the ability to work effectively within an interdisciplinary team. Experience of deep learning, time-series or spatio-temporal modelling, uncertainty quantification, or environmental data analysis would be particularly advantageous.
This full-time post is available on a fixed term basis until 30 March 2028.
Benefits include:
44 days annual leave inclusive of Bank Holidays and University Customary days (pro rata for part-time).
Family and Work-life balance policies including hybrid working and considerable maternity, paternity, shared parental leave and adoption leave.
Generous pension scheme with life cover for dependants, plus incapacity cover.
Health and Wellbeing: discounted access to Sportspark facilities, relaxation rooms, 320 acres of rolling parkland, wellbeing walks, Wellbeing Ambassador network, on-campus medical centre including NHS Dentist, Occupational Health and a 24/7 Employee Assistance Programme.
Campus Facilities: Sportspark, library, nursery, supermarket, post office, bars and catering outlets.
Exclusive shopping discounts to help cut the cost of household bills, childcare salary sacrifice scheme, Cycle to Work scheme and public transport discounts.
Personal Development: unlimited access to LinkedIn Learning courses, specialist advice and training from our Organisational Development and Professional Learning Team.
Closing date: 10 November 2026
The University holds an Athena Swan Silver Institutional Award in recognition of our advancement towards gender equality.
About You
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Academic requirements
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English language requirements
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