Post-Doctoral Research Associate (Part Time, Fixed Term)
University of Cambridge, United Kingdom
- Institution
- University of Cambridge
- Country
- United Kingdom
- Position type
- PhD
- Salary
- GBP 37694.00–46049.00 YEAR
- Location
- Cambridge, England, United Kingdom
- Funding
- Fully funded position
Want to be the strongest applicant for this position?
Book a free 15-minute call with our team. We will look at your profile against what University of Cambridge is actually looking for, and tell you honestly where you stand and what to strengthen before you apply.
Book a free call about this position →No cost, no obligation. Mentors who have secured funded PhD positions themselves.
We mentor STEM applicants only. If your research aspirations are outside STEM subjects, you're very welcome to use this board and apply directly; we just aren't the right people to mentor you.
About this position
The Department of Land Economy is seeking a Post-Doctoral Research Associate to join a research project examining the governance of biodiversity conservation, land-use change, and food systems. The project combines quantitative analysis of global panel datasets with high-resolution land-cover analysis to investigate how conservation policies and land-use dynamics interact across different geographical scales.
The successful candidate will contribute to the development and delivery of a programme of research that draws on statistical and econometric modelling, geospatial analysis, and large international datasets. The role is particularly suited to a social scientist with strong quantitative skills and an interest in biodiversity, conservation, sustainability, or environmental governance.
Working closely with Dr Aiora Zabala, the postholder will contribute to data analysis, research design, literature reviews, and the preparation of academic publications. The role also offers an opportunity to help shape future research directions through the development of follow-on projects and grant applications.
The position is based in the Cambridge Centre for Environment, Energy and Natural Resource Governance and is closely connected to the Cambridge Conservation Research Institute. The successful candidate will join a multidisciplinary research environment with strong links across conservation science, environmental policy, economics, and governance.
We welcome applications from candidates with a PhD in a relevant discipline and experience in quantitative research, R programming, and statistical or econometric analysis. Experience with spatial data, GIS, land-use change research, or biodiversity-related topics is particularly valuable.
Fixed-term: The funds for this post are available for 10 months in the first instance.
To apply online for this vacancy and to view further information about the role, please click 'Apply' above.
Informal enquiries concerning the position may be addressed in the first instance to Dr Aiora Zabala (az296@cam.ac.uk). For any queries about the application process or online system please contact hr@hsps.cam.ac.uk
Please quote reference JP50373 on your application and in any correspondence about this vacancy.
The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.
The University has a responsibility to ensure that all employees are eligible to live and work in the UK.
Apply directly to University of Cambridge
Emerging Scholars Council is not the employer and does not recruit for this position. It is advertised by University of Cambridge, and your application goes to them. We help students prepare and strengthen their applications.
Go to the official application page →Contact listed in the advert
Some positions — especially in Germany, Austria and Switzerland — are filled by writing directly to the supervisor rather than through an online form. These addresses were taken from the advert text, so check them against the official listing before you write.
A cold email to a supervisor is the highest-leverage thing you can send — and the easiest to get wrong. Ask us to look at yours before you hit send.