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  PhD in the computational prediction of synthetically accessible supramolecular materials


   Department of Chemistry

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Prof Kim Jelfs  No more applications being accepted  Funded PhD Project (European/UK Students Only)

About the Project

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.

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Project supervisors

Career overview

Professor Kim Jelfs is a member of the Department of Chemistry at Imperial College London, where they hold the position of Professor in Computational Materials Chemistry. Their research focuses on utilising computational approaches to enable the discovery of functional molecular materials. Specifically, Professor Jelfs investigates the prediction of these materials'' assembly as individual units and how this affects self-assembly and properties. Their work aims to apply large-scale computational screening of precursor libraries, creating databases of viable, functional materials. Professor Jelfs collaborates closely with synthetic chemists to realise the predictions made through computational methods. Their research interests include porous molecular materials, organic electronics, and membrane materials. Professor Jelfs'' work is supported by various funding bodies, including the Royal Society, the Engineering and Physical Sciences Research Council (EPSRC), the Leverhulme Trust, and the European Research Council (ERC), as well as industry partnerships.


Research interests

Professor Jelfs'' research focuses on computational approaches for enabling functional molecular material discovery. They investigate the prediction of materials'' assembly as individual units and how this affects self-assembly and properties. Their work aims to apply large-scale computational screening of precursor libraries, creating databases of viable, functional materials. Professor Jelfs'' research includes a strong emphasis on porous molecular materials, organic electronics, and membrane materials. They maintain strong collaborations with synthetic partners to realise their predictions and are currently funded by the Royal Society, the Engineering and Physical Sciences Research Council (EPSRC), the Leverhulme Trust, the European Research Council (ERC), and industry.

View Professor Kim Jelfs's profile