PhD Position in Causal AI & Graph Generative Models at UCL (EPSRC Funded)
Laura Toni
We are seeking a highly motivated PhD student to join the Department of Electronic & Electrical Engineering at University College London (UCL). This position is part of the UCL EPSRC Landscape Award (UELA). The project explores the intersection of Causality, Network Science, and Generative AI to build intelligent systems that can understand the "why" behind events in complex networks (e.g., power grids, climate systems).
PROJECT FOCUS
Title: Causal Inference and Generative Models in Dynamic Processes to Analyze and Enhance Resilience in Complex Networks.
This fully funded PhD project focuses on advancing Causal Inference and Graph Generative Models to analyze and enhance resilience in complex, dynamic networks, such as power grids and water infrastructure. The objective is twofold: to use reverse inference to trace observed system faults or phenomena back to their causal origins, and to employ forward simulation (Generative AI) to model "what-if" scenarios under different interventions, enabling statistically optimal, proactive decision-making for a more sustainable future. Link: https://ucl-epsrc-dtp.github.io/2026-27-project-catalogue/projects/2531bd1660.html
PROJECT SUPERVISOR & HOSTING GROUP The project is supervised by Dr. Laura Toni (UCL EEE), Prof. Mirco Musolesi (UCL CS), and Dr. Francesca Boem (UCL EEE). This team combines expertise in optimisation, causal inference, and control systems.
CANDIDATE’S PROFILE We require a candidate with a strong academic background in Mathematics, Statistics, Optimization, or Machine Learning. Proficiency in Python is a must. You should be driven to solve fundamental AI challenges in Causal Inference and Graph Learning with real-world sustainability impact.
RESEARCH CONTACT If you are interested in the position and believe you are a strong fit, please contact Dr. Laura Toni. Please avoid generic emails, please briefly explain in your email how your specific background and research interests align with one of the two focus areas mentioned above.
FUNDING CONDITIONS
- Source: UCL EPSRC Landscape Award (UELA).
- Stipend: Enhanced rate of approx. £23,466 per year (tax-free).
- Eligibility: Fully funded for Home, but International applicants can apply as well (International places are capped, so competition is high).
APPLICATION PROCEDURE AND PROCESS The deadline is Monday, 05 January 2026. Important: The UELA application is a multi-step process. You must submit "Part A" online well before the deadline to receive the links for the full application.
For full details and the application portal, visit: https://www.ucl.ac.uk/epsrc-doctoral-training/prospective-students/ucl-epsrc-landscape-award-uela-studentships