University of Sheffield
Research Associate in Physics-Informed Machine Learning for Polymer Science
- Sheffield
- Hybrid
- £39,560 – £41,885 pa
- Entry level
- Contract
Develops explainable machine learning models, including symbolic regression, Bayesian optimisation and genetic algorithms, to decode polymer-solvent thermodynamics and soft-matter physics. Involves featurizing complex polymer architectures, analysing multi-modal experimental datasets, and building open-source cheminformatics tools in Python/Julia for sustainable inverse formulation design.
Python · Julia · C++ +1