PhD Computational Modelling of Nanoparticle Synthesis 948 views

PhD studentship in Computational Modelling of Nanoparticle Synthesis at Cambridge University: The Department of Chemical Engineering and Biotechnology in University of Cambridge, UK invited application from eligible an outstanding candidates those are 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 for filling up the PhD studentship in Computational Modelling of Nanoparticle Synthesis for 3.5 years (for the first year of the project. The next two years will be spent at Cambridge CARES in Singapore).

About the Project: 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.

Positions: Ph.D studentship

Principle investigators: Prof. Markus Kraft

Educational qualifications: Interested and eligible candidates must have 4 years of study at University level and a high 2:1 or equivalent degree in a relevant discipline such as mechanical/ chemical engineering/physics/chemistry/ mathematics/scientific computing with Strong numerical, programming skills and problem solving skills.

Closing Date: 16 September 2018

How to apply: Interested and eligible applicants may apply through the email to Graduate Administrator, Mrs Amanda Taylor, at at481@cam.ac.uk with the vacancy reference number NQ16521 in the subject line of your email by 16 September 2018 with their CV and Copies of transcripts from all previous degrees that include marks received.

Contact Address: For the any other information about the Computational Modelling Group candidates may search through at http://como.cheng.cam.ac.uk.

Quick Overview——–
Organization University of Cambridge
Position Ph.D studentship
Country   UK
Subject areas Mechanical/ Chemical Engineering/Physics/Chemistry/ Mathematics/Scientific Computing
Fellowship As per norms
Eligibility Master Degree in related subjects.
Deadline 16 September 2018

For more information: For detailed announcement and instructions for submission of application, eligibility requirements, other terms and conditions, please visit the link given below.

FURTHER INFORMATION REGARDING THE POSITIONS

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