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Research Associate / Fellow

University of Nottingham

United Kingdom

Hybrid

GBP 30,000 - 40,000

Full time

Yesterday
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Job summary

A leading UK research institution is seeking a Postdoctoral Research Associate to advance its 'REMEDY Plus' project aimed at optimizing dairy farm management. This role involves developing simulation models using Python, translating real-time data into practical insights for farmers. Candidates should be veterinary surgeons with a PhD or nearing completion, possessing skills in simulation modelling and data analysis. The position offers a hybrid working environment, generous holiday entitlement, and opportunities for staff development.

Benefits

Generous holiday entitlement
Hybrid working arrangement
Access to fitness and health facilities
Staff discounts
Travel schemes

Qualifications

  • Veterinary surgeon with a PhD either completed or close to completion.
  • Expertise in agricultural systems or complex biological/ecological modelling preferred.
  • Experience in integrating technological and farm-based information into models.

Responsibilities

  • Develop and automate simulation models of dairy farm systems using Python.
  • Translate real-time farm data into actionable insights.
  • Work with multidisciplinary teams to ensure model robustness and relevance.

Skills

Python programming
Simulation modelling
Data analysis

Education

PhD in relevant field
Job description

Organisation/Company University of Nottingham Research Field Medical sciences » Veterinary medicine Medical sciences » Other Researcher Profile Recognised Researcher (R2) Application Deadline 11 Feb 2026 - 23:59 (UTC) Country United Kingdom Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

We invite applications for a Postdoctoral Research Associate position to advance the 'REMEDY Plus' project, an expansion of a novel, data-driven, decision support system for UK dairy farmers, supported by Innovate UK. The core task will be developing, expanding, and automating sophisticated simulation models of complex dairy farm systems using Python. This role focuses on translating real-time farm data—including new energy monitoring feeds—into farm-specific 'what-if' scenarios. The goal is to provide farmers and their advisors with calibrated tools to evaluate the outcomes of competing management decisions, thereby optimizing productivity, nutritional efficiency, animal health, and sustainability, particularly by reducing net carbon emissions and refining antimicrobial use.

The successful candidate will be a veterinary surgeon, with a PhD either completed, or close to completion, have expertise in Python programming, simulation modelling, and data analysis, ideally with experience in agricultural systems or complex biological/ecological modelling. The candidate will work closely with a multidisciplinary team of academics, veterinarians, and industry specialists to ensure the models are robust, scalable, and highly relevant to end-users. This involves integrating an unprecedented array of real-time technological and farm-based information into the REMEDY platform, directly addressing the barrier of time-consuming farm planning by providing real-time, actionable insights to improve herd-level and cow-level management.

What we offer
  • A friendly, diverse, and supportive working environment
  • A hybrid working arrangement with the blended approach of home and office working each week
  • Generous holiday entitlement of 30 days (or pro rata) plus standard bank holidays and five university closure days including closure between Christmas and New Year.
  • Our reward scheme grants bonuses of numerous values for excellent work
  • We are committed to staff development through the provision of training, continued support, and career progression opportunities
  • You will have access to a range of benefits and rewards, including fitness and health facilities, staff discounts, travel schemes and many more. To find out more about what we can offer you, follow the link to our benefits website

This is a full time, fixed-term position until 31/08/2026.

Further information is available in the role profile. To apply for this vacancy please click ‘Apply Now’ to complete your details.

Informal inquiries may be addressed to Robert Hyde, email: robert.hyde@nottingham.ac.uk . Please note that applications sent directly to this email address will not be accepted.

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