The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises Chemistry, Engineering, Informatics, Mathematics, and Physics – all departments highly rated in research activities and a wide-ranging portfolio of education programmes.

 

Celebrating diversity and supporting staff is important to us and we offer a range of provision including flexible working, caring support (including a Parenting and Carers Fund and the Carer’s Career Development Fund), training, and a variety of diversity and inclusion networks. Staff can apply for flexible working to help them balance the demands of their professional and personal commitments and we offer comprehensive leave policies for parental, adoption, surrogacy, dependant and shared leave.

 

The university is making investment in NMES, and both student and staff numbers are growing. Our staff come from over 45 countries and 56% of our students are from outside the UK. Further details available at  www.kcl.ac.uk/nms.

Applications are invited for a 2.5 year fixed-term position in the group of Dr Martin-Martinez in the Department of Chemistry, King’s College London.

 

We are seeking a postdoctoral research associate to lead an innovative EU-funded project at the intersection of polymer chemistry, computational modelling, and machine learning. The primary role is to develop a complete in silico framework to accelerate the discovery of novel Polyhydroxyalkanoate (PHA) structures, which includes the creation of a high-throughput computational pipeline designed to engineer advanced biodegradable materials with application in sustainable food packaging.

 

The project will be conducted in close collaboration with Dr. Micaela Matta’s group within the Chemistry Department at King’s College London and with experimental partners in the project consortium led by AINIA research centre in Spain.

 

The postholder will have access to state-of-the-art high-performance computing (HPC) resources and will work alongside experts in both computational and experimental chemistry, providing a supportive research environment.

 

Applicants should have a PhD in Chemistry or related field, and extensive experience in python programming and machine learning models for molecular discovery and chemical property prediction.

 

For informal enquiries, please contact Dr Martin-Martinez at francisco.martin-martinez@kcl.ac.uk. This is a full time post (35 hours per week), offered on a fixed term contract for 2.5 years from the start date.