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  PhD in Chemical Engineering - Crystal structure prediction (CSP) applied to pharmaceutical molecules and process development


   Department of Chemical Engineering

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  Dr C Bertulli  No more applications being accepted  Funded PhD Project (Students Worldwide)

About the Project

The Centre for Process System Engineering at Imperial College London/University College London is seeking to recruit a PhD student to carry out research with Professors Adjiman and Pantelides in collaboration with a large pharmaceutical company in the exciting area of crystal structure prediction (CSP) applied to pharmaceutical molecules and process development. The student will be based at Imperial College London.

This research project is aimed to develop a new generation of models for use in CSP that will deliver a significant improvement in our ability to predict crystal structures, with a specific focus on salts. The student will join a team with a well-established activity in this area and will extend our current computational tools to broader classes of crystals.

Applicants should have broad interests, spanning computational methods and experimental techniques as well as an interest in reaction kinetics/physical organic chemistry. Applicants should also be able to demonstrate excellent written and oral communication skills, which will be essential in collaborating with the industrial partner, disseminating the results via journal publications and attendance at international conferences. Applicants are expected to have obtained (or be heading for) a First degree at Master’s level (or equivalent) in Chemical Engineering, Chemistry or Physics and be highly motivated. Candidates with a high 2:1 may also be considered.

Start date: October 2019.

Applications should be made through the College’s online application system. Important information about the College’s PhD application process can be found on the following page: http://www3.imperial.ac.uk/pgprospectus/applicationforms

Applicants should send their application reference to Cristina Bertulli: [Email Address Removed]

For further details please contact Cristina Bertulli: [Email Address Removed]

Closing date: 15th February 2019



Funding Notes

This post is financially supported via an industrial collaboration.

The successful candidate will receive the following financial support:
a) Full funding for tuition fees and stipend of £16,777 per annum for 3 years
b) Stipend only (no tuition fees covered) for the final 0.5 year, to support write-up of the PhD thesis.