PhD in the computational prediction of synthetically accessible supramolecular materials

A 3.5 year PhD position is available within the research group of Dr. Kim Jelfs (jelfs-group.org) at the Department of Chemistry, Imperial College London. This is an excellent opportunity for a well-motivated student to participate in a project funded by the Leverhulme Research Centre for Functional Material Design (www.liverpool.ac.uk/leverhulme-research-centre/) and it will involve close collaboration with experimental partners.

The project will focus upon how to predict which organic materials can be synthesised in the laboratory, rather than predicting materials with optimal properties that are not synthetically realisable. This will involve using a variety of artificial intelligence techniques, including, but not limited to, genetic algorithms and machine learning. The development of software in Python will make use of cheminformatics libraries. The research will include a focus on predicting reaction outcomes and consequently both structure and property of the materials.

The position is available to both UK and EU graduates with a good degree in a relevant subject (Chemistry, Physics, Materials Science, Computer Science). Previous experience with computational chemistry or physics methods is not a requirement but can be an advantage. Interested applicants are encouraged to contact Dr. Kim Jelfs ([Email Address Removed]) by email, along with a CV. This position is available for October 2018.