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Natalia Efremova

3 days ago

Leverhulme Living with Waste Doctoral Programme

Fully Funded PhD in Machine Learning, Remote Sensing, and the Political Economy of Informal Waste Disposal Queen Mary University of London in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

A four-year fully funded PhD studentship covering tuition fees and providing a stipend.

Deadline

Jan 15, 2027

Country flag

Country

United Kingdom

University

Queen Mary University of London

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Keywords

Computer Science
Data Science
Environmental Science
Remote Sensing
Political Science
Geography
Artificial Intelligence
Development Economics
Political Economy
Environmental Justice
Economics
ML

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About this position

Where Waste Goes — The Political Economy of Informal Disposal is an interdisciplinary PhD project at Queen Mary University of London, within the Leverhulme Living with Waste Doctoral Programme and Queen Mary Business School.

The research investigates informal waste disposal and environmental inequality by bringing together machine learning, artificial intelligence, satellite imagery, development economics, and political economy. The doctoral researcher will explore how remote sensing and AI can identify and monitor informal waste sites, then combine these observations with socioeconomic, institutional, and policy data.

The project is designed to examine both the drivers and consequences of waste disposal, with a particular focus on environmental justice. It offers an opportunity to work across data science, environmental science, geography, economics, development studies, and related fields in an interdisciplinary research environment.

The supervisory team comprises Dr Caterina Gennaioli, lead supervisor, and Dr Natalia Efremova, co-supervisor, at Queen Mary Business School, together with Dr Gaia Narciso, co-supervisor, at Trinity College Dublin.

The opportunity is a four-year PhD studentship in the Leverhulme Living with Waste Doctoral Programme.

Funding details

A four-year fully funded PhD studentship covering tuition fees and providing a stipend.

What's required

Applicants are welcomed from economics, data science, environmental science, geography, development studies, and related disciplines, particularly those interested in interdisciplinary research and environmental justice.

How to apply

Review the project description and Doctoral Programme website for eligibility, required documents, and application instructions. Submit the PhD application by 15 January 2027 through the stated application process.

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Professors

Associate Professor at Queen Mary University of London

University Name
Country flag

United Kingdom

Research Interests

Hydrology

Artificial Intelligence

Remote Sensing

Economics

Vegetation Dynamics