Lecturer / Associate Professor of AI for Biodiversity Science
Core
Develop and apply AI-enabled approaches to ecological, genomic, and environmental data to generate decision-relevant insights for biodiversity science.
Role type
Lecturer / Associate Professor (AI for Biodiversity Science)
Builds
Independent, collaborative research programme in AI for biodiversity science
Domain
Computational biology, biodiversity science, ecology, genomics
Deliverable
production ML models | research
Required skills
AI for biodiversity science, quantitative data science, research-led teaching, securing research funding, supervising postgraduate researchers, interdisciplinary collaboration
Preferred skills
experience with vision/acoustic sensors, remote sensing, LiDAR, multimodal/spatiotemporal modelling, foundation models, interpretable AI
Technologies
vision sensors, acoustic sensors, genomic data, remote sensing data, LiDAR, multimodal models, spatiotemporal models, foundation models
Responsibilities
Develop novel or apply AI approaches to ecological/genomic/environmental data; establish or expand independent research programme; secure competitive research funding; supervise and mentor postgraduate researchers; contribute to research-led teaching; develop external engagement with conservation and policy partners
Seniority
Lecturer (Grade 8) or Associate Professor (Grade 9)
