Senior Research Associate

University of East Anglia; Norwich; On-site; GBP 39,000 - 46,000; Full time

Benefits offered by this job

44 days annual leave + bank holidays

Job summary

The University of East Anglia is seeking a Senior Research Associate in the School of Computing Sciences to advance AI methods for real-time bathing-water quality prediction. You will work on an interdisciplinary project with environmental and public-health impact, developing advanced machine-learning approaches from complex environmental data and sharing findings with partners across universities.

The role requires a postgraduate-level qualification in a relevant area and a proactive,

Qualifications

• Postgraduate qualification or equivalent experience in CS/AI/ML/Data Science.
• Experience of independent research and developing machine-learning methods.
• Proactive, results-driven with strong analytical and communication skills.

Responsibilities

• Develop and evaluate novel AI models for spatio-temporal prediction.
• Analyse and interpret complex environmental data.
• Publish results and contribute to grant applications and supervision/teaching where appropriate.

Skills

Independent research

Analytical skills

Interdisciplinary collaboration

Strong communication

Education

Postgraduate degree in CS/AI/ML/Data Science

Tools

Deep learning

Time-series modelling

Uncertainty quantification

Job description

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.

Further information on our great benefits package, including 44 days annual leave inclusive of Bank Holidays and additional University Customary days (pro rata for part-time), can be found on our benefits page.

Closing date: 10 November 2026

The University holds an Athena Swan Silver Institutional Award in recognition of our advancement towards gender equality.

£38,784 per annum, with an annual increment up to £46,049 per annum.