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We offer a fantastic range of benefits including a highly competitive annual leave entitlement (with the ability to purchase more), a generous pensions scheme, flexible working opportunities, a commitment to your development and wellbeing, a wide range of retail discounts, and much more. Find out more about our benefits (opens in a new window) and join us to become part of something special.
Overview
Are you a passionate experimentalist looking to apply advanced laser diagnostic techniques to a transformative healthcare challenge? We have an exciting opportunity in the School of Mechanical, Aerospace and Civil Engineering for a Research Associate to use their skills in fluid mechanics to revolutionize haemodialysis and make a profound impact on global health.
You will join the Sheffield Fluid Mechanics Group at the University of Sheffield, working closely with experts in engineering, the Medical School, and Sheffield Teaching Hospitals. As a key member of this interdisciplinary project, you will lead the experimental characterization of a novel, disruptive dialyser design.
Directly supervised by Dr. Melika Gul, you will be responsible for the design, construction, and testing of a scaled-up, optically clear model of the new dialyser. You will apply advanced techniques, specifically Particle Image Velocimetry (PIV) to resolve complex fluid flow behaviour.
This role offers a unique opportunity to bridge fundamental engineering principles with real-world physiological conditions. You will work in close collaboration with two other Research Associates focusing on numerical simulations and clinical validation, contributing directly to a greener, more efficient future for nephrology.
Main duties and responsibilities
- Lead the design and construction of a scaled-up dialyser. This involves selecting appropriate materials, designing components for 3D printing or machining, and integrating rotating machinery and porous membranes into a functional experimental setup.
- Apply advanced laser-based diagnostic techniques to rigorously characterize fluid flow and mass transfer. You will utilize Particle Image Velocimetry (PIV) and Planar Laser-Induced Fluorescence (PLIF).
- Analyze large, high-resolution datasets generated by PIV and PLIF experiments to determine the effects of rotation on mixing efficiency and solute deposition. You will develop scripts for data processing and visualization, providing essential empirical data for the cross-validation and refinement of numerical simulations conducted by the team.
- Work closely with the principal investigators, researchers and clinicians to translate engineering results into physiological insights. You will actively participate in weekly meetings with renal medicine experts and collaborate with two other PDRAs to ensure seamless integration between numerical modeling, experimental findings, and clinical validation tasks.
- Document experimental methodologies and findings comprehensively. You will contribute to the writing of high-impact journal publications, present research outcomes at international conferences, and participate in public engagement events to showcase the project’s impact on sustainable nephrology.
- Carry out other duties, commensurate with the grade and remit of the post
Person Specification
Our diverse community of staff and students recognises the unique abilities, backgrounds, and beliefs of all. We foster a culture where everyone feels they belong and is respected. Even if your past experience doesn't match perfectly with this role's criteria, your contribution is valuable, and we encourage you to apply. Please ensure that you reference the application criteria in the application statement when you apply.
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Criteria |
Essential or desirable |
Stage(s) assessed at |
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A PhD (or nearing completion) in Fluid Mechanics, Aerodynamics, or a closely related physical science/engineering field (or equivalent relevant experience). |
Essential |
Application |
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Significant experience with laser-based optical flow diagnostics. |
Essential |
Application/Interview |
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Demonstrated ability to design, construct, and troubleshoot complex experimental apparatus. |
Essential |
Application/Interview |
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Excellent data analysis skills, with experience processing large volumes of imaging data using software such as MATLAB or Python. |
Essential |
Application/Interview |
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Proven ability to conduct high-level scientific research independently. |
Essential |
Application/Interview |
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Proven ability to conduct high-level scientific research collaboratively within a diverse, multidisciplinary team. |
Desirable |
Application/Interview |
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A proven track record of publishing high-quality scientific papers in reputable journals. |
Essential |
Application/Interview |
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Excellent communication skills, both written and verbal, including technical report writing and delivering presentations. |
Essential |
Application/Interview |
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Ability to demonstrate initiative, creativity in problem-solving, and effective decision-making. |
Essential |
Application/Interview |
Further Information
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Grade |
7 |
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Salary |
£38,784 - £47,389 |
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Work arrangement |
Full-time |
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Duration |
24 months (start: 1 July 2026) |
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Line manager |
Project Co-Lead |
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Direct reports |
None |
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Our website |
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For informal enquiries about this job contact Dr Melika Gul, Lecturer in Experimental Fluid Mechanics (Project Co-Lead): on m.gul@sheffield.ac.uk.
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Next steps in the recruitment process
It is anticipated that the selection process will take place shortly after the application closing date. This will consist of a candidate’s presentation on their background and research experience and an interview. A small tour of the campus will also be given, where possible. Full details of this will be provided to shortlisted candidates. We plan to let all applicants know if they have progressed to the selection stage within two weeks after the application closing date. If you need any support, equipment or adjustments to enable you to participate in any element of the recruitment process you can contact Mac Operations at mac-operations@sheffield.ac.uk.
Our vision and strategic plan
We are the University of Sheffield. This is our vision: sheffield.ac.uk/vision (opens in new window).
What we offer
- A minimum of 41 days annual leave including bank holiday and closure days (pro rata) with the ability to purchase more.
- Flexible working opportunities, including hybrid working for some roles.
- Generous pension scheme.
- A wide range of discounts and rewards on shopping, eating out and travel.
- A variety of staff networks, providing opportunities for social interaction, peer support and personal development (for example, Race Equality, LGBT+, Women’s and Parent’s networks).
- Recognition Awards to reward staff who go above and beyond in their role.
- A commitment to your development access to learning and mentoring schemes; integrated with our Academic Career Pathways.
- A range of generous family-friendly policies
- paid time off for parenting and caring emergencies
- support for those going through the menopause
- paid time off and support for fertility treatment
- and more
More details can be found on our benefits page: sheffield.ac.uk/jobs/benefits (opens in a new window).
We are a Disability Confident Employer. If you have a disability and meet the essential criteria for this job you will be invited to take part in the next stage of the selection process.
Closing Date : 14/04/2026
We are a research university with a global reputation for excellence. Our ideas and expertise change the world for the better, making a real difference to society. We know that when people come together with different views, approaches and insights it can lead to richer, more creative and innovative teaching and research and the highest levels of student experience. Our University Vision (www.sheffield.ac.uk/vision) outlines our commitment to building a diverse community of staff and students that recognises and values the abilities, backgrounds, beliefs and ways of living for everyone.

