University of Lincoln
Research Assistant in Multimodal AI for Biodiversity Monitoring (INTERNAL) (CHS360)
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Join the Applied Vision and Artificial Intelligence Lab (AVAIL) at the University of Lincoln to help develop HabiBench, the UK's first fully open multimodal benchmark for automated terrestrial habitat assessment.
Funded by the EPSRC UK Open Multimodal AI Network (UKOMAIN) through its Open Multimodal AI Benchmark (OMAIB) programme, HabiBench builds on the team's NERC-funded AI-Hab research. It will combine ground-level habitat photographs, satellite-derived geospatial representations and ecological descriptions into a high-quality open dataset supporting biodiversity monitoring, Biodiversity Net Gain and land-use decision-making.
As Research Assistant, you will:
- Help design and implement the automated data-construction pipeline
- Curate and quality-assure ecological and geospatial datasets
- Contribute to baseline multimodal AI models, evaluation and benchmarking
- Prepare open releases through GitHub, Hugging Face and Zenodo
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You will work with researchers and partners including the University of Sheffield, the UK Centre for Ecology & Hydrology (UKCEH) and Mozaic Earth.
Requirements:
- An honours degree (2:1 or above) and/or a master's degree in Computer Science, Data Science or a closely related subject
- Good Python skills and experience of machine-learning or data-processing workflows such as PyTorch or Pandas
- Experience handling and curating datasets and an interest in collaborative, interdisciplinary AI research are essential
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Desirable Skills:
- Experience in computer vision, large language models, foundation models, geospatial machine learning, benchmarking, reproducible or open research, or biodiversity and environmental AI
- Familiarity with Git/GitHub and AI coding assistants
Position Details:
- Type: Full-time, fixed-term Grade 6 post for two months
- Location: Brayford Campus, Lincoln, with hybrid/remote working arrangements considered subject to project needs
- Salary: £33,002 per annum
Contact for Informal Discussion:
Dr Hongrui Shi at hshi@lincoln.ac.uk
Closing Date: 09 Sep 2026
Department: Internal Only Vacancies
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