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Postdoctoral Research Associate in Landscape-natural Capital Accounting and Biodiversity Reporting

The University of Edinburgh - CSE - School of GeoSciences - Institute for Geography and the Lived Environment

Location: Edinburgh, Hybrid
Salary: £41,064 to £48,822 per annum (Grade 7)
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 27th August 2026
Closes: 21st September 2026
Job Ref: 14707

Full Time: 35 hours per week

Fixed term: 20th November 2027

Together we can do great things. Be part of something bigger.

Here, you can continue to make a difference in everything around you. Take on new challenges, grow your career, be recognised for your contributions, and benefit from our commitment to your wellbeing. Be part of something bigger — where your work has real impact and your development matters. There are so many reasons to take your next step with us.

The University of Edinburgh is a world-class organisation. We look for the best in the field across all disciplines and provide a working environment where academics can develop their careers and passion for their chosen subject area. We offer the full range of academic roles and have a genuine focus on our student’s performance and wellbeing.

The opportunity:

Advance urban and landscape-scale natural capital accounting and biodiversity reporting methods through action research in Scotland.

We are looking for an interdisciplinary researcher with knowledge and experience in natural capital or ecosystem accounting to work within the Centre for Sustainable Forests and Landscapes on the Horizon Europe funded CircHive project until November 2027 to develop and new natural capital accounting methodologies to support urban and rural natural capital and biodiversity reporting. The post holder will co-develop and test natural capital accounts with the University of Edinburgh Forest and Peatland (FPP) landscape restoration project and the City of Edinburgh Council (CEC) to deliver useful and usable approaches to support decision-making.

Your skills and attributes for success:

  • Experience in applying natural capital concepts
  • Experience using a range of data analysis methods
  • Ability to communicate complex information clearly, orally and in writing
  • Experience of working collaboratively in large, diverse teams
  • PhD, or equivalent professional experience relevant to the role
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