Machine Learning & AI

Data-driven models that learn, adapt and improve to make better predictions and decisions. We build models directly from process data and combine them with physics-based knowledge to capture complex, nonlinear behaviour where first-principles models alone fall short.

Optimisation & Control

Optimisation and control in the loop to operate systems efficiently, safely and sustainably. We design closed-loop optimisation and advanced control strategies — from model predictive control to real-time optimisation — that keep processes running at their best despite uncertainty and disturbances.

AI for Science & Materials

AI and data-driven discovery to accelerate scientific understanding and materials innovation. We combine experiments, predictive models and screening tools in a discovery loop to speed up the development of new materials and processes.

We are looking for outstanding postdoctoral researchers interested in applying for the MSCA Postdoctoral Fellowship (deadline: 9 September 2026) to join us at UCL Department of Chemical Engineering.

If your research interests align with our areas and you are considering applying for an MSCA Fellowship, I'd be happy to discuss potential project ideas and support a competitive application.

Please get in touch by email with your CV if you are interested: p.quintanilla@ucl.ac.uk

If you are interested in joining or working with our group more generally, please email p.quintanilla@ucl.ac.uk. It would be helpful if you could attach your CV, links to your LinkedIn or Google Scholar profiles (if you have them).