PhD Studentship in Computational Chemical Engineering

Cambridge, England, United Kingdom

Job description

A fully-funded 3.5 year PhD studentship is available in the Computational Modelling Group, Department of Chemical Engineering and Biotechnology, at the University of Cambridge under the supervision of Prof. Markus Kraft. The studentship starts in October 2018 and, due to funding regulations, 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 computational infrastructure which aims at a comprehensive virtualisation of industrial operations, i.e. a hierarchical representation of data and models associated with every entity in an industrial park, in order to exploit synergies for resource, energy, and emissions savings. The overall goal is, using ideas from the Semantic Web, Internet of Things, Industry 4.0, artificial intelligence, and statistics, to create an integrated simulation platform and expert system capable of providing quantitative decision support. Specific areas of interest for this project include in particular machine-to-machine commodity trading using technologies such as blockchain and a number of machine learning techniques.

This studentship is a joint project between Shell and Cambridge CARES in Singapore ( The project will be mainly based in Cambridge, UK, but the successful applicant will also be expected to spend some time working at CARES in Singapore.

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 mechanical or chemical engineering, physics, chemistry, mathematics, or scientific computing with a keen interest in computational modelling. (*If you completed your degree(s) outside the UK, you must visit to check the equivalence prior to applying.)

2) Strong numerical, programming skills and problem solving 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:

How to apply

To apply for this position, please email the following to Mrs Amanda Taylor, Graduate Administrator, at by noon on Friday 27 April 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 NQ15187 in the subject line of your email.

Further information about the Computational Modelling Group can be found at

Please quote reference NQ15187 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.

The University of Cambridge (informally Cambridge University, or simply Cambridge) is a public research university in Cambridge, England. It is the second-oldest university in both the United Kingdom and the English-speaking world, and the seventh-oldest globally. In post-nominals the university's name is abbreviated as Cantab, a shortened form of Cantabrigiensis (an adjective derived from Cantabrigia, the Latinised form of Cambridge).