Research Associate/Fellow (Fixed-term)

University-of-Nottingham; Sutton Bonington; On-site; GBP 32,000 - 47,000; Full time

Job summary

University of Nottingham seeks a Research Associate/Fellow to join a new multi-disciplinary team examining drivers from agriculture and green-waste recycling that influence fAMR hotspots in the UK. You will extract and analyze data from panel sources, apply multivariate modelling, and liaise with multiple institutions and stakeholders.

The role requires a PhD or near completion, and strong skills in quantitative data analysis, writing, and publishing research.

Qualifications

• Experience with quantitative data research collection / collation and analysis techniques.
• Includes data extraction and multivariate statistical analysis and modelling techniques.
• Good understanding of agriculture and land-use in the UK is essential.
• Knowledge or understanding of GDPR in data analysis context is required.
• Ability to write and publish research papers and working knowledge of quantitative analysis software is desirable.

Responsibilities

• Undertake data extraction, analysis and modelling of on-farm practices from panel data (FBS).
• Collaborate with researchers at partner institutions and stakeholders across the project.
• Translate research findings into useful policy and practice outcomes.

Skills

Data extraction

Quantitative analysis

Multivariate analysis

GDPR knowledge

Education

PhD or near completion

Job description

Location

Sutton Bonington

Salary

£32,080 to £47,389per annum, depending on skills and experience (minimum £35608 with relevant PhD).

Closing Date

Tuesday 01 September 2026

Reference

SCI769226

We are seeking a Research Associate/Fellow to join a new multi-disciplinary research team working across a multi-institutional project that seeks to investigate the overlapping anthropogenic drivers from agriculture and green-waste recycling that contributes to the emergence of fungal Antimicrobial Resistance (fAMR) hotspots in the UK.

The successful candidate will work closely with Professor Paul Wilson, Professor of Agricultural Economics, and will undertake data extraction, analysis and modelling of on-farm practices from panel data drawing on the Farm Business Survey (FBS). The successful candidate will also interact and liaise with other researchers at different institutions and stakeholders involved in the project.

This role provides an exciting opportunity to work with experienced researchers and liaise with a wide range of stakeholders who are taking a leading role in shaping innovation and policies in their fields. The University of Nottingham also offers a wide range of training and opportunities to researchers at all career levels.

We are looking for a highly motivated researcher, with the relevant knowledge of quantitative data analysis methodologies and approaches and with a passion for translating research findings into useful policy and practice related outcomes.

Candidates will have experience with quantitative data research collection / collation and analysis techniques, including data extraction and multivariate statistical analysis and modelling techniques. Having a good understanding of agriculture and land-use in the UK is also an essential criterion for the role. Candidates must also have knowledge or understanding of GDPR in the context of data analysis. A record of ability to write and publish research papers and a working knowledge of quantitative analysis software packages, ideally applied to farm business or practice data, are desirable requirements for candidates applying for this role.

Applicants must have (or be close to completion of) a PhD or equivalent in a relevant subject area.

The role will be based at the University of Nottingham in the School of Biosciences, Sutton Bonington Campus, but will involve occasional working with colleagues based at partner institutions across the UK.

This post is available on a fixed term basis for 18 months, hours of work are full time (36.25 hours). Job share arrangements may be considered.

Requests for secondment from internal candidates may be considered on the basis that prior agreement has been sought from both your current line manager and the manager of your substantive post, if you are already undertaking a secondment role. Informal enquiries may be addressed to Paul Wilson, email [e-mail] Please note that applications sent directly to this email address will not be accepted.

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