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University of Cambridge

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PhD opportunities in forest ecology, remote sensing and data science University of Cambridge in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Most funding deadlines are in early December. The post does not specify stipend amount, tuition coverage, or whether funding is fully funded, but indicates that funding is available for some PhD projects.

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Country

United Kingdom

University

University of Cambridge

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Keywords

Computer Science
Data Science
Environmental Science
Biology
Remote Sensing
Earth Science
Rainforest Ecology

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About this position

Emily Lines, Associate Professor at the University of Cambridge and UKRI Future Leaders Fellow, is inviting applications for PhD supervision.

The research sits at the intersection of forest ecology, remote sensing, and data science, with project ideas including low-cost terrestrial lidar for forest monitoring, sensing diversity in three dimensions, and three-dimensional foundation models of forests. Applicants are also welcome to develop their own project ideas.

This is a PhD opportunity rather than a postdoctoral or master’s opening. The post suggests that funding deadlines for most projects are in early December. No stipend amount, tuition details, or specific funding scheme are stated in the post.

Applicants are encouraged to read the supervisor’s advice page before reaching out. Emily Lines also states that she prefers direct, genuine communication from applicants and will not consider proposals or messages written by generative AI.

Relevant study areas include environmental science, biology, earth science, and computer science, especially methods involving lidar, forest monitoring, ecological sensing, and computational modelling.

Funding details

Most funding deadlines are in early December. The post does not specify stipend amount, tuition coverage, or whether funding is fully funded, but indicates that funding is available for some PhD projects.

What's required

Applicants should be interested in PhD supervision at the intersection of forest ecology, remote sensing, and data science. The post invites interested applicants to contact the supervisor and notes that applicants may develop their own project ideas. GenAI-written emails or proposals will not be considered; the supervisor wants direct communication from applicants.

How to apply

Review the project ideas linked in the post or propose your own PhD topic. Reach out directly to Emily Lines with a genuine, personalized message and follow the advice page she provides before contacting her. Submit funding-related applications before the early December deadlines.

More information can be found here

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