Research Assistant/Associate in Applied ML Researcher-Agricultural Systems

We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development of the North East of England. Attracting and retaining high-calibre people is fundamental to our continued success.

The Role
Are you interested in applying machine learning and computational methods to address real-world challenges in sustainable agriculture? We are seeking a highly motivated researcher to join a weed research programme at Newcastle University, delivering specialist expertise in machine learning, data analysis, and modelling. This role will focus on the development, implementation, and validation of advanced ML approaches for weed detection, discrimination, and management using complex biological and spectral imaging datasets.

The postholder will contribute exclusively to research, supporting large-scale data analysis, interpretation, and modelling, as well as contributing to publications and grant deliverables in collaboration with plant scientists. You should enjoy problem solving, working with complex datasets, and translating analytical results into biological and agricultural insights. Experience in machine learning, computational analysis, and handling high-dimensional data is essential with familiarity with agricultural or environmental applications.

You would join researchers within the Agriculture and Animal Science Group, which sits within the School of Natural & Environmental Sciences, working in the group led by Dr Ankush Prashar. The project offers scope for further development, while also providing opportunities to enhance your career through university training and development programmes.

As part of our commitment to career development for research colleagues, the University has developed 3 levels of research role profiles. These profiles set out firstly the generic competences and responsibilities expected of role holders at each level and secondly the general qualifications and experiences needed for entry at a particular level.

The position is fixed-term for 6 months, full-time (37 hours per week). The start date is expected to be January or February 2026 and is slightly flexible; flexible working arrangements are negotiable. We are committed to building and maintaining a fair and inclusive working environment.

For more information on The School of Natural and Environmental Sciences please click here.

To apply please send a CV and a cover letter of no more than two pages highlighting why you would be suitable for the position.

For an informal discussion about the project please email Dr Ankush Prashar (ankush.prashar@newcastle.ac.uk).

Please note that if you are successful to this role, you will require medical clearance before you can commence in the role.

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