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Funded PhD studentship in Computational Modelling of Nanoparticle Synthesis

A phd position is available at University Of Cambridge. This fellowship is available for all students around the world. Applications are invited up to September 16, 2018.

Applications are invited for a funded 3.5 year PhD studentship under the supervision of Prof. Markus Kraft. The successful applicant will be based in the Department of Chemical Engineering and Biotechnology in Cambridge, UK for the first year of the project. The next two years will be spent at Cambridge CARES in Singapore (http://www.cares.cam.ac.uk). The remainder of the project will be spent in Cambridge, UK. The studentship starts in January 2019.

We are looking for an outstanding student who is interested in working on a modelling project to develop and apply state-of-the-art computational tools to model the formation of titanium dioxide nanoparticles. The project will solve detailed mathematical models using stochastic numerical methods to investigate phenomena including the chemical reactions, collision and growth of particles in the reactor. The project will require the student to develop further both the model and the numerical methods used to solve the model on a High Performance Computing cluster. The project will run alongside an experimental studentship that will provide insights to inform the development of the model.

The Computational Modelling Group has considerable expertise and a proven track record of success in these areas, and the successful applicant will benefit from the support of an experienced supervisor and research team.

2) 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. (Before applying, please ensure you can meet the 2.1 or higher equivalence by visiting:

https://www.graduate.study.cam.ac.uk/international-qualifications ) 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/entry-requirements

The studentship provides a full stipend and covers the University and College fees at the Home/EU rate. Applicants of any nationality may apply, but please note that the difference in fees for Home/EU and Overseas students is substantial. (Please see the PhD in Chemical Engineering rates at: https://www.graduate.study.cam.ac.uk/sites/www.2018.graduate.study.cam.ac.uk/files/graduatefees2018-19_0.pdf ) Overseas applicants would need to fund the difference in fees from either their own sources or external studentships.

To apply for this position, please email the following to our Graduate Administrator, Mrs Amanda Taylor, at at481@cam.ac.uk by 16 September 2018:

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

3.) Please include the vacancy reference number NQ16521 in the subject line of your email.

Further information about the Computational Modelling Group can be found at http://como.cheng.cam.ac.uk.

Please quote reference NQ16521 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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