Fully Funded PhD Position in Machine Learning (ML) for Polymer Blending Optimisation
Summary of PhD Program:
A wide spectrum of target thermoplastic materials can be manufactured by tailoring polymer blends to achieve particular combinations of end-user performance (e.g. mechanical, electrical, structural support) properties, important in various industrial sectors, especially in extreme-condition environments. These polymeric material classes include the widely used polyolefins (PE, PP), but also others derived from higher-MW monomers (PS, PVC, PVP, PC, PTFE, etc. ).
