Foam Electrokinetic Separation

Application details:
Reference number: NAN0/MA/DT-2020
Start date: 1st January 2020
Closing date: 7th November 2019

Supervisors:
Primary supervisor: Dr Dmitri Tseluiko
Secondary supervisor: Dr Hemaka Bandulasena, Dr Anna Trybala, Professor Andrew Archer

Loughborough University
Loughborough University is a top-ten rated university in England for research intensity (REF2014) and an outstanding 66% of the work of Loughborough’s academic staff who were eligible to be submitted to the REF was judged as ‘world-leading’ or ‘internationally excellent’, compared to a national average figure of 43%.

In choosing Loughborough for your research, you’ll work alongside academics who are leaders in their field. You will benefit from comprehensive support and guidance from our Doctoral College, including tailored careers advice, to help you succeed in your research and future career.

Find out more: http://www.lboro.ac.uk/study/postgraduate/supporting-you/research/

Project Detail
Following the establishment of a Centre of Doctoral Training (CDT) in “Designed Self-assembly of Nanoparticles within Fluids and at Interfaces” at Loughborough University, applications are invited for a fully funded PhD studentship. The CDT is a joint initiative of the School of Science (Departments of Mathematics and Chemistry) and the School of School of Aeronautical, Automotive, Chemical and Materials Engineering (Departments of Chemical Engineering and Materials), and it offers a unique opportunity to join a vibrant team of researchers working in a multidisciplinary environment across the fields of mathematical modelling, chemistry, chemical engineering and colloidal science. This project will be based in the Department of Mathematical Sciences and will in close collaboration with the Micro/Nano Engineering Research Group within Chemical Engineering.

The successful candidate will investigate electrokinetic phenomena in foams and free liquid films, with the view of developing a novel separation technique. We will target biological entities such as proteins and cells that are difficult to separate by conventional methods and that are useful in pharmaceutical industry. This novel approach will provide tight control of molecules by manipulating strict conditions required for their effective separation. The research will involve mathematical modelling, numerical simulations and the use of state-of-the-art flow visualization tools.

Find out more:
http://www.lboro.ac.uk/departments/chemical/staff/hemaka-bandulasena/
http://www.lboro.ac.uk/departments/chemical/staff/anna-trybala/

Entry requirements
Applicants should have, or expect to achieve, at least a 2:1 Honours degree (or equivalent) in Engineering or Science discipline. An appetite and aptitude for interdisciplinary research is essential, as well as good communication and experimental or computational skills. A relevant Master’s degree and/or experience in these areas will be an advantage.

Contact details
Name: Dr Dmitri Tseluiko
Email address: [Email Address Removed]
Telephone number: +44 (0)1509 22 3190

How to apply
All applications should be made online at http://www.lboro.ac.uk/study/apply/research/. Under programme name, select Mathematical Sciences.

Please quote reference number: NAN0/MA/DT-2020.