Taylor PhDs

Professor Joeri Rogelj/Centre for Environmental Policy
PhD Title: Climate litigation and energy firms: focus on greenwashing and compensation cases

Julien's research, which combines methods from law and economics, focuses on corporate liability in relation to climate change, including litigation and policies relating to greenwashing and climate-related loss and damages. A lawyer since 2018, Julien is also a lecturer at the University of Sherbrooke, where he teaches competition law and corporate social responsibility law.

Dr. Ronny Pini/Department of Chemical Engineering
PhD Title: Cost- and resource-efficient regional deployment of direct air capture

Eleni's research focuses on the deployment of CDR technologies. She is working on an interdisciplinary PhD project that aims to conduct a model-based assessment for the cost-effective design and operation of Direct Air Capture units within UK industrial clusters by considering aspects of site-specific variable ambient conditions and resource integration.

Professor Hamed Haddadi/Department of Computing
PhD Title: Energy-aware machine learning for ultra-low-power applications

Josh works on energy-aware machine learning approaches for ultra-low-power and energy-harvesting platforms, with a focus on applications in environmental sensing and biodiversity monitoring.

Dr. Rupert Myers/Department of Civil and Environmental Engineering
PhD Title: Understanding the socioeconomic implications of resource emergencies and associated mitigation policies using Bayesian material flow analysis

This PhD project focuses on improving the capability of Bayesian material flow analysis (BaMFA) methodology to include multi-regional systems and energy stocks and flows.

Dr. Evangelina Spyrou/Department of Electrical and Electronic Engineering
PhD Title: Net-zero market designs for long-duration energy storage

Professor Matt Piggott/Department of Earth Science and Engineering
PhD Title: Data-driven modelling of farm-to-farm wake interactions: a new tool to inform offshore wind policy

This project aims to create new data-driven models to accurately quantify farm-to-farm interactions, giving policy makers a tool to manage trans-border disputes when planning offshore renewables.

Professor Goran Strbac, Department of Electrical and Electronic Engineering
PhD Title: Development of an Effective Market Design for Enabling the Economic Benefit from Ancillary Services and Smart Technologies: A Reinforcement Learning Approach

The rapid rise of renewables has exposed the limitations of traditional electricity markets, which often fail to reward flexibility or manage uncertainty effectively. This leads to the underutilisation of smart technologies like energy storage and demand response — key assets in a sustainable future. Under the supervision of Prof. Goran Strbac, my research focuses on how Reinforcement Learning (RL) can dynamically optimise energy systems under real-world uncertainty. This enables smarter, faster, and more resilient decision-making. With an awareness of financial constraints, my work aims to unlock untapped economic value from ancillary services while accelerating the low-carbon transition and promoting long-term sustainability.