PhD in Transitional DeCarbonisation Scenario Modelling for Value Chain Emissions Mitigation (TransCarb)

A PhD candidate with four publications and advanced data science skills will build computer models to map carbon emissions across entire industrial supply chains, from raw materials to finished products. Most efforts to cut emissions focus on individual factories or power plants. This misses the bigger picture: a carmaker’s carbon footprint includes the steel supplier’s emissions, the mining company’s emissions, and the logistics firm’s emissions. No one has a clear, data-driven way to see where in that chain the biggest savings are possible, or how a change in one link ripples through the rest. If the models work, companies and regulators could identify the single most cost-effective intervention in a supply chain—switching a shipping route, changing a material supplier, or redesigning a component—rather than guessing or acting on partial information. The research is fundamental: it develops the mathematical and computational framework for this kind of whole-chain analysis. There is no immediate product or policy. But similar modelling approaches have transformed logistics and inventory management over the past two decades; this work could do the same for carbon accounting.