Agricultural Data Analytics Research Fellow

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

Job summary

University of Nottingham in Sutton Bonington invites applications for a Research Associate/Fellow to join a multidisciplinary team examining drivers of fAMR hotspots in the UK. You will extract and model on-farm data from panel data sources and collaborate with researchers across institutions mentioned in the project description.

The role requires a PhD or equivalent, strong quantitative skills, and the ability to publish research findings.

Qualifications

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

Responsibilities

• Data extraction, analysis and modelling of on-farm practices from panel data drawing on the Farm Business Survey (FBS).
• Interact and liaise with researchers at different institutions and stakeholders involved in the project.
• Publish research findings and contribute to policy-relevant outputs.

Skills

Quantitative data analysis

Data extraction

Multivariate analysis

Statistical modelling

GDPR knowledge

Research communication

Education

PhD or equivalent

Tools

R

Stata

Job description

University of Nottingham in Sutton Bonington invites applications for a Research Associate/Fellow to join a multidisciplinary team examining drivers of fAMR hotspots in the UK. You will extract and model on-farm data from panel data sources and collaborate with researchers across institutions mentioned in the project description.

The role requires a PhD or equivalent, strong quantitative skills, and the ability to publish research findings.