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PhD Studentship: Experimental and Numerical Analysis of Biofilms

University of Sheffield

Location: Sheffield
Salary: £18,622 tax-free per annum for up to 3.5 years (competition funded).
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 8th December 2023
Closes: 24th January 2024

Supervisors: Dr Alberto Marzo, Dr Esther Karunakaran, Dr Melika Gul

About the project

Microbial biofilms are ubiquitous and their management is central to many global challenges such as medical device encrustation and antibiotic resistance. A lack of understanding of the inherent complexity of biofilms, and the factors that affect their development, is hindering the development of robust standards that can support innovation in their clinical management, and therefore societal impact. This project will use a combination of microbiology, microscopy, micro particle image velocimetry (microPIV), machine learning and computational fluid dynamics (CFD) to investigate how different and representative types of bacteria are affected by flow and other relevant factors such as transport of nutrients and other metabolites. The student will benefit from excellent laboratory and numerical facilities and links with industry through our collaborative work within the INSIGNEO institute for in silico medicine.

If you’re interested in applying and wish to discuss any details of the project informally, please contact Dr Alberto Marzo (a.marzo@sheffield.ac.uk) or Dr Esther Karunakaran (e.karunakaran@sheffield.ac.uk) or Dr Melika Gul (m.gul@sheffield.ac.uk)

Funding notes 

A limited number of Faculty Scholarships are available for home students.  Please see University of Sheffield Research Scholarships | Postgraduate study | The University of Sheffield

Funding may be available through the Sheffield - China Scholarship Council Scholarships for Chinese nationals residing in mainland China.  Please see eligibility criteria and research areas at Sheffield–China Scholarships Council PhD Scholarship Programme | Postgraduate study | The University of Sheffield

Requirements

A self motivated student with 1st or 2:1 degree in Engineering, Materials Science, Physics, Chemistry, Applied Mathematics, or other Relevant Disciplines. 

How to apply

To apply, please use our on-line PhD application form including 

  • Curriculum Vitae
  • Two reference letters
  • Degree Transcripts to date
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