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Research Assistant – Forest Carbon Credits and Biodiversity Analysis

Job in Cambridge, Cambridgeshire, CB21, England, UK
Listing for: Laplace Apply
Full Time position
Listed on 2026-11-02
Job specializations:
  • Research/Development
    Ecology, Research Assistant/Associate, Biology, Research Scientist
Salary/Wage Range or Industry Benchmark: 33002 - 35608 GBP Yearly GBP 33002.00 35608.00 YEAR
Job Description & How to Apply Below
Research Assistant – Forest Carbon Credits and Biodiversity Analysis

University of Cambridge

United Kingdom

Apply by 08 Nov 2026

About This Opportunity

University of Cambridge advertises Research Assistant – Forest Carbon Credits and Biodiversity Analysis, focusing on evaluation of forest-conservation climate and biodiversity impacts for reliable carbon-credit methodologies.

The University of Cambridge Centre for Carbon Credits (4C), in the Department of Zoology, seeks a Research Assistant to help measure the climate and biodiversity benefits of forest conservation and make carbon-credit claims more scientifically reliable. Working with Dr Tom Swinfield, the appointee will prepare environmental and spatial datasets, develop reproducible analysis code using R or Python, evaluate conservation impacts, and coordinate scientific feedback with the Haven Scientific Council and industry collaborators.

They will also translate findings through public-facing articles and briefings. This six-month post is expected to begin in December 2026 and requires on-site presence at the David Attenborough Building on at least three days each week. Salary is £33,002–£35,608. Strong numerical analysis and ability to communicate uncertainty are essential to the role.

Academic preparation and entry profile:
Relevant university degree and strong programming and quantitative analytical skills.

Funding and appointment conditions: £33,002–£35,608; fixed-term up to 6 months.

Who This Opportunity Is Best Suited For:
Based on the documented project scope, this opportunity may be particularly suited to applicants whose preparation includes Relevant university degree and strong programming and quantitative analytical skills; researchers interested in working with R, Python, Geospatial data analysis, Environmental data quality, Quantitative ecology. This is an editorial fit assessment, not an admissions determination.

Potential Challenges / Who May Find It Less Suitable:
Relevant considerations are the specialized technical breadth may require significant preparation. The exact implications depend on the stated eligibility and appointment terms.

Overall Opportunity Assessment:
The distinctive focus is evaluation of forest-conservation climate and biodiversity impacts for reliable carbon-credit methodologies. Applicants should weigh the verified research methods, qualifications and any stated funding or mobility conditions against their research goals.

Evaluation of forest-conservation climate and biodiversity impacts for reliable carbon-cre

Level Researcher

Field Evaluation of forest-conservation climate and biodiversity impacts for reliable carbon-credit methodologies

Organization Type

University

Funding & Compensation

Amount Paid

Funding Type Salary

Funding Status Paid

Requirements
Education
  • Relevant university degree and strong programming and quantitative analytical skills.
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