PhD Scholarship: Natural Resources: We are excited to announce a PhD scholarship opportunity for a research project focused on optimizing land use allocation and natural resource management. This interdisciplinary project will develop and employ advanced tools like the United Nations Framework Classification (UNFC) to balance environmental, social, and economic objectives. The research will focus on Aberdeenshire, UK, integrating data collection and modelling to address long-term ecosystem services and sustainable land use.
PhD Scholarship Opportunity: Discovering the Full Potential of Interconnected Natural Resources
Summary Table
| Designation | PhD Researcher |
|---|---|
| Research Area | Natural Resources and Landscape Management |
| Location | Aberdeenshire, UK |
| Eligibility/Qualification | Degree in Environmental Science, Geography, Geosciences, Economics, or related fields |
| Job Description | Conduct interdisciplinary research on land use and natural resource management using tools like the UNFC. Integrate field data and modelling techniques to assess ecosystem services. |
| How to Apply | Contact target-cdt@le.ac.uk for application details |
Designation
PhD Researcher
Research Area
Natural Resources and Landscape Management
Location
Aberdeenshire, UK
Eligibility/Qualification
Applicants should have a degree in Environmental Science, Geography, Geosciences, Economics, or other relevant subjects. An interest in natural resources and a willingness to acquire skills in data processing and numerical modelling is essential.
Job Description
The PhD researcher will:
- Develop and utilize strategic multi-criteria decision-making methods for optimal land use allocation.
- Work across disciplines to build and employ next-generation resource classification tools.
- Investigate how tools like the UNFC can explore the costs and benefits of various land use and natural resource management combinations, focusing on mineral resource extraction, agriculture, and rewilding.
- Conduct field studies in Aberdeenshire to collect data on soil health, carbon stocks, biodiversity, and water quality.
- Use multi-objective optimization techniques such as genetic algorithms and machine learning.
- Develop scenarios for sustainable land use and integrate social impact surveys.
How to Apply
For further details and application procedures, please contact target-cdt@le.ac.uk.
Last Date for Apply
Until position filled
