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University of Southampton

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Fully Funded PhD in Social-Ecological Study of Deer, Recreation and Landscape Management University of Southampton in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Aug 23, 2026

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Country

United Kingdom

University

University of Southampton

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Keywords

Computer Science
Ecology
Environmental Science
Agriculture
Biology
Remote Sensing
Animal Behavior
Statistical Analysis
Geography
Landscape Architecture
Natural Resource Management
Environmental Conservation
Econometric
Statistics
Machine learning

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About this position

Fully funded PhD opportunity at the University of Southampton in the Faculty of Environmental and Life Sciences.

Project title: A Social-Ecological Study of Deer, Recreation and Landscape Management in Southern England National Parks.

Research areas: Ecology and conservation, remote sensing and GIS, data analysis and applied statistics, machine learning, agriculture and natural resource management, wildlife behaviour, and landscape management.

Supervisor: Dr Becks Spake ([email protected]).

Funding: Fully funded, including tuition and stipend, co-funded by the University of Southampton and BASC.

Eligibility: UK students only. Applicants should hold a 2:1 or First-Class Honours degree (or equivalent) and have a background in ecology, geography, environmental science, biology, or a related discipline.

Programme: PhD Environmental Sciences (8491), Academic Year 2026/27.

Deadline: 23 August 2026.

Apply: Use the official online application link and review the project/research degrees pages before submitting.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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