Faculty of Science
School of Computing Sciences
Senior Research Associate (Fixed term for 12 months)
Ref: RA2294
Salary on appointment will be £38,249 per annum, with an annual increment up to £45,413 per annum.
An exciting opportunity has arisen for a Senior Research Associate to join the School of Computing Sciences and Norwich Medical School to conduct research on developing artificial intelligence and machine learning methods for analysing skin cancer data extracted from the Clinical Practice Research Datalink (CPRD).
As a Senior Research Associate you will be associated with this project and will contribute ideas and/or enhancement of techniques or methodologies. You will analyse and interpret data, design and develop an AI framework, conduct experiments, evaluate results and present them on research progress and outcomes. You will also have the opportunity to contribute to grant applications and may be involved in the supervision of researchers and teaching of students within the Schools.
You should have a PhD, or postgraduate level research degree, equivalent qualification, or experience in relevant research areas – Artificial Intelligence (AI), Machine Learning (ML) and/or Data Science (DS).
You will also have significant research experience on machine learning with supervised, unsupervised and reinforcement learning, deep neural networks and symbolic artificial intelligence development for association analysis. Specifically, you should have sufficient knowledge in healthcare (CPRD) data analysis.
You will also have strong interpersonal and communication skills, with the ability to analyse and interpret data and work effectively as part of a team. Advanced skills directly relating to this research area and experience teaching small classes and/or overseeing practices would be advantageous.
The post is available from 1 April 2025 on a full-time fixed term basis for up to 12 months.
UEA offers a variety of flexible working options and although this role is advertised on a full-time basis, we encourage applications from individuals who would prefer a flexible working pattern including annualised hours, compressed working hours, part time, job share, term-time only and/or hybrid working. Details of preferred hours should be stated in the personal statement and will be discussed further at interview.
Benefits include:
- 44 days annual leave inclusive of Bank Holidays and University Customary days.
- 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: 23 February 2025
The University holds an Athena Swan Silver Institutional Award in recognition of our advancement towards gender equality.