The University of Manchester, Department of Chemistry, offers a fully funded PhD position in multiscale modelling of polymer composites. This 3.5-year project, starting from October 2024, is open to UK students or EU students with settled status. The tax-free stipend is set at the UKRI rate as a minimum (£19,237 for 2024/25).

The project focuses on using a combination of natural language processing (NLP) and high throughput simulations to build databases for polymer property prediction, aiding down-selection and exploration of new material solutions. The aim is to replace expensive and time-consuming experimental campaigns with efficient computational methodologies. Machine learning methods will identify regions of uncertainty in the parameter space, supplemented by targeted atomistic simulations such as molecular dynamics and/or Monte Carlo simulations. Initially, the project will focus on diffusion and solubility of gases in model polymers, with potential to explore other material properties.

Eligibility:

1. Minimum 2.1 honours degree or master’s in Physics, Chemistry, Chemical Engineering, Materials Science, or other relevant STEM degrees.
2. Pre-knowledge on molecular simulations, machine learning methods, or programming is desirable but not necessary.

How to Apply:

Before applying, contact Dr. Paola Carbone at paola.carbone@manchester.ac.uk. Then, apply online here.