Postdoc: MD & ML‑Driven Discovery of PHA Polymers

GEFAM; Greater London; Hybrid; GBP 34,000 - 42,000; Full time

Job summary

King’s College London’s Department of Chemistry invites applications for a 2.5-year postdoctoral research associate to work on an EU Pathfinder project under the supervision of Dr Francisco Martin-Martinez, with co-supervision from Dr Micaela Matta.

The postdoc will combine polymer chemistry, molecular dynamics simulations, and machine learning to develop an in-silico framework for discovering novel PHAs and to study their degradation, in close collaboration with experimental partners in the

Qualifications

• Postdoctoral level research in chemistry or related field.

Responsibilities

• Develop an in-silico framework to accelerate discovery of novel PHAs using MD simulations and ML.
• Study degradation of PHAs with molecular dynamics simulations and collaborate with experimental partners in the consortium led by AINIA (Spain).
• Interact with project supervision and contribute to dissemination of results.

Job description

King’s College London’s Department of Chemistry invites applications for a 2.5-year postdoctoral research associate to work on an EU Pathfinder project under the supervision of Dr Francisco Martin-Martinez, with co-supervision from Dr Micaela Matta.

The postdoc will combine polymer chemistry, molecular dynamics simulations, and machine learning to develop an in-silico framework for discovering novel PHAs and to study their degradation, in close collaboration with experimental partners in the