Student projects

We offer Master’s thesis and semester projects on the topics below. Each project is designed to lead to a co-authored journal paper, and builds on the lab’s datasets and models. You are also welcome to propose your own topic within the lab’s research directions.

Master's thesis or semester project

Physical supply chain constraints for AI

AI data centres depend on chips, power and cooling equipment, and the critical materials behind them. Map the physical supply chains of AI infrastructure and estimate where materials, manufacturing capacity or grid equipment could limit its growth.

Skills: Python or R; material flow analysis, trade data or input–output analysis

Master's thesis or semester project

Supply chain risk propagation under geopolitical uncertainty

Export restrictions, sanctions and disrupted trade routes send shocks along supply chains to other countries and sectors. Build a network model to trace how such shocks spread through clean energy and critical material supply chains, and identify the most exposed economies.

Skills: Python; network analysis; international trade data

Master's thesis or semester project

Policy interactions in clean energy technology supply chains

Tariffs, subsidies and local-content rules in one economy change the choices of producers and governments elsewhere. Simulate how these policies interact in the supply chains of solar PV, batteries or heat pumps, and what they mean for costs, deployment and emissions.

Skills: Python; agent-based modelling or optimisation

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How to apply

Email your CV, transcripts and a short motivation (which project, why, and what you would bring) with the subject line [Application] [Project] Your Name – Your University. Please also say when you would start and how long the project would run.

Students from other universities usually need a co-supervisor at their home institution; we can help arrange this.

Email:

See Join us for PhD, research assistant and visiting positions.