Emily Lines
Top university
11 months ago
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Forest ecology University of Cambridge in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
PhD students are funded through competitive applications to Cambridge Trusts, GATES, and other structured PhD programmes. Funding typically covers stipend, tuition fees, and research costs. Only the strongest applicants are put forward for funding consideration. External funding sources may be available but must be discussed with the supervisor. Funding is highly competitive and not guaranteed.
Deadline
Expired
Country
United Kingdom
University
University of Cambridge

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About this position
There is some general information and links on applying for PhDs in my group on my website ( https://lnkd.in/eBGUrQEJ ).
My group is focussed on highly computational approaches in forest ecology using data science/AI, as well as field techniques; I look for students with evidence of excellence in these areas. The deadline for funding is 2nd December (including references) - get in contact if you'd like to chat ??????
PS - reaching out to a PI can be daunting! I give some specific advice on how to do it well (for me at least) - here: https://lnkd.in/ddFFJze5
Funding details
PhD students are funded through competitive applications to Cambridge Trusts, GATES, and other structured PhD programmes. Funding typically covers stipend, tuition fees, and research costs. Only the strongest applicants are put forward for funding consideration. External funding sources may be available but must be discussed with the supervisor. Funding is highly competitive and not guaranteed.
What's required
Applicants should have strong computational and quantitative skills, with evidence of excellence in data science, AI, or related fields. A background in forest ecology or environmental science is preferred. Candidates must be interested in highly computational approaches and field techniques in forest ecosystems. Applications require a strong academic record and a clear ecological research focus. All applicants must apply for competitive funding and should contact the supervisor ahead of the deadline. English language proficiency and a relevant undergraduate or master's degree are expected.
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