The University of Manchester's Department for Chemical Engineering are advertising a fully funded PhD studentship for a Home student to work on Hybrid ML-Physics Optimisation Framework for Pharmaceutical Reactors.
The student will work at the interface of machine learning, computational fluid dynamics, and process engineering, developing both fundamental methods and design tools. The project combines methodological innovation with real engineering impact, offering the opportunity to contribute to next-generation computational design strategies for pharmaceutical manufacturing.
Contact the lead supervisor, Dr Nausheen Basha (nausheen.basha@manchester.ac.uk), for more information, and full details on how to apply can be found here: Hybrid ML-Physics Optimisation Framework for Pharmaceutical Reactors at The University of Manchester on FindAPhD.com