Senior Research Associate (RA2423)

UEA; Norwich; Hybrid; GBP 39,000 - 46,000; Full time

Benefits offered by this job

Hybrid working

Pension scheme

Health and wellbeing services

Campus facilities access

Job summary

University of East Anglia is seeking a Senior Research Associate in the School of Computing Sciences to develop cutting-edge AI methods for real-time prediction of bathing-water quality. The role involves interdisciplinary research with partners across universities and health/environment sectors.

The post entails developing and evaluating novel AI models, contributing methodological innovations, publishing findings and supporting grant applications, supervision and teaching within the School.

Qualifications

• Postgraduate qualification or equivalent experience in Computer Science, AI, ML or Data Science.
• Experience of independent research and developing machine-learning methods.
• Interdisciplinary collaboration and strong communication skills.

Responsibilities

• Develop and evaluate novel AI models for real-time water quality prediction.
• Contribute ideas and methodological innovations in spatio-temporal modelling.
• Publish research findings and present progress and outcomes.
• Contribute to grant applications and supervise researchers and teaching students.

Job description

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

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

• 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.

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

Further Information

For further information, including the Job Description and Person Specification, please see the attached Candidate Brochure.

For an informal discussion about the post please contact Professor Beatriz de la Iglesia via [e-mail].

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

Salary will be £25,249 per annum, with an annual increment up to £26,093 per annum.

Starting salary will be £26,707 with annual increment up to £30,378 per annum