PhD Studentship: Machine Learning for Process Development in Pharmaceutical Chemistry

University of Cambridge - Department of Chemical Engineering and Biotechnology

A fully-funded 3 year PhD studentship is available in the Sustainable Reaction Engineering Group, Department of Chemical Engineering and Biotechnology, at the University of Cambridge under the supervision of Prof. Alexei Lapkin. The studentship starts in October 2018 (January 2019 start is possible) and is only able to cover fees at the Home/EU rate. No funding is available to cover the difference in the Home/EU and overseas fee rates.

We are looking for an outstanding student who is interested in working with us to further develop our tools and methods of process development, which include automated experiments in batch and flow, implementation of machine learning algorithms for design of experiments, development of process models, automated generation of process data and developing approaches to increasing process understanding using a combination of statistical and mechanistic approaches.

The overall goal is to significantly reduce the time for development of new processes involving multi-step reaction-separation sequences, ultimately reducing the cost of developing new medicines and making medicines more accessible.

This studentship is supported by industry and will involve direct collaboration with industrial partner, including short secondment to the company R&D site for implementation of the findings.

Applicants must have:

1) At least 4 years of study at University level and a high 2:1 or equivalent* degree in a relevant discipline such as chemical engineering or chemistry with a keen interest in computing. (*If you completed your degree(s) outside the UK, you must visit https://www.graduate.study.cam.ac.uk/international-qualifications to check the equivalence prior to applying.)

2) Good knowledge of reaction engineering or process chemistry and good chemical laboratory skills.

3) Be able to meet the graduate admissions entrance requirements of the University of Cambridge. The successful candidate will be expected to formally apply for admission: https://www.graduate.study.cam.ac.uk/how-do-i-apply

To apply for this position, please email the following to Mrs Amanda Taylor, Graduate Administrator, at at481@cam.ac.uk by noon on Friday 11th May 2018, as late applications will not be considered:

1.) A copy of your CV.

2.) Copies of transcripts that include marks received from all previous degrees.

3.) Please include the vacancy reference number NQ15285 in the subject line of your email.

Please quote reference NQ15285 on your application and in any correspondence about this vacancy.

The University values diversity and is committed to equality of opportunity.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

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Advert information

Type / Role:

PhD

Location(s):

South East England