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We have 70 environmental planning PhD Projects, Programmes & Scholarships

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environmental planning PhD Projects, Programmes & Scholarships

We have 70 environmental planning PhD Projects, Programmes & Scholarships

Last chance to apply

Environmental Planning: Fully Funded ESRC Wales Graduate School for the Social Sciences (WGSSS) Studentship in the Environmental Planning Pathway

Funding providers: ESRC Wales Graduate School for the Social Sciences (WGSSS) and Swansea University. Subject areas: Geography, coastal management, spatial planning, political science, environmental policy, conservation biology . Read more

Environmental Impact of Construction on Peatlands

Reducing greenhouse gasses (GHG) emissions is one of the main goals of the 1997 Kyoto Protocol and the Paris Agreement (signed in 2015 during COP21) which seeks to limit the global raise in temperature to 1.5 °C. Read more

Language, Policy and Planning

This PhD is lead by the Language, Policy and Planning Research Unit in the School of Welsh. Projects include international research on language policy and planning, language rights and politics, language variation and change, sociolinguistics of bilingualism and multilingualism, and sociology of language. Read more

Evaluating the meaning and distribution of ‘Tree Equity’ in Surrey: An interdisciplinary approach

Having access to trees reduces respiratory illness and improves mental health and well-being (Pataki et al 2021). Tress also provide protection from climate extremes such as flooding and heatwaves (Leets et al 2022). Read more

PhDs in Natural and Built Environment

Our research seeks to understand the impact of social, environmental, and economic changes on society, drawing on this understanding to contribute to the better design and planning of spaces and places. Read more

Data-Centric Solutions for Earth Observation Challenges: Developing Cutting-Edge Techniques for Remote Sensing Analysis [SELF-FUNDED STUDENTS ONLY]

In today's data-driven landscape, the importance of data-centric machine learning methodologies cannot be overstated where they prioritize the quality, diversity, and accessibility of data, recognizing that the performance and reliability of machine learning models heavily depend on the data they are trained on. Read more

Data-Centric Solutions for Earth Observation Challenges: Developing Cutting-Edge Techniques for Remote Sensing Analysis

In today's data-driven landscape, the importance of data-centric machine learning methodologies cannot be overstated where they prioritize the quality, diversity, and accessibility of data, recognizing that the performance and reliability of machine learning models heavily depend on the data they are trained on. Read more

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