Chemical Engineering: Fully Funded EPSRC DTP and Swansea University PhD Scholarship: Design, manufacturing and testing of “living” cellular microfluidic sensors (RS744)

Funding providers: Engineering and Physical Sciences Research Council (EPSRC) Doctoral Training Partnerships (DTP) and Swansea University's Faculty of Science and Engineering

Subject areas: Chemical Engineering, Biomedical Engineering, Applied Physics

Supervisors:
Dr Francesco Del Giudice (Primary)
Dr Hari Arora (Secondary) 

Project start dates:
1 April 2025
1 July 2025 

Aligned programme of study: PhD in Chemical Engineering

Mode of study: Full-time 

Project description: 

Cells are living systems highly sensitive to changes in the local environment, meaning that a change of temperature, pH or other properties can result in the cell changing its morphology and overall behaviour. In this project, the successful candidate will employ such cell behaviour to design, fabricate and test microfluidic fibres containing cells; such structures will act as “living sensors”, providing a physical response to a variety of external stimuli such as drug administration, electric signals, mechanical stimuli, and temperature gradients. The impact of this project stems in anticipated applications in diagnostic healthcare and drug development. 

The candidate will design fibres having controlled cells spacing, by using the principle of viscoelasticity-induced ordering in straight microchannels (https://pubs.acs.org/doi/full/10.1021/acsaenm.2c00060). The advantage over traditional methodologies is that cells will be aligned along a single line in the fibre, meaning that the external stimuli will be uniformly felt along the cell population line, resulting in the first-of-its-kind living tuneable sensor with cell-specific response.  Unit sensors will be robustly characterised. Data will train a machine learning model to optimise sensor configurations (for multiple unit sensors) for a given application. The project will bring together Soft Matter, Biomedical Engineering and Data Science to generate a versatile tool with great potential across several fields. Experimental activities will mainly be carried out at the Rheological Microfluidic lab led by Dr. Francesco Del Giudice. 

The candidate will use a variety of equipment, including microfluidic fabrication facilities, microfluidic stations to observe the flow and generate the fibres, and state-of-the-art rheometry. The candidate will also have access to a range of advanced biomechanical characterisation tools to test sensor applicability (e.g. test performance in biomaterial phantoms) and benchmark sensor quality (e.g. compare strain measurements against optical methods such as digital image correlation). Additionally, the candidate will be trained on the development of machine learning algorithms developing advanced skills in both experimental and analytical methods. Collaborating research groups and stakeholders from across disciplines in healthcare and industry will regularly engage throughout. By the end of the project, the candidate will have acquired a portfolio of skills and external collaborators that will provide a strong footing for future careers in either academia or industry. 

The Rheological Microfluidic lab sits within the broader Complex Fluid group and focuses on areas of research bringing together complex fluids (e.g., polymer solutions) and microfluidics. For instance, we pioneered the use of polymer solutions to promote co-encapsulation of particles above the stochastic limit. We also developed a microfluidic device for rapid simultaneous measurements of rheological properties at different temperature and using fingerpick of fluids. We are currently exploring implementation of machine learning within the field of droplet microfluidics. Our overall vision is to introduce disruptive technologies that challenges the status quo. 

The student will also work within the Biomedical Engineering Simulation and Testing (BEST) Lab led by Dr Hari Arora. There are currently >20 researchers in the group with >10 PhD level working on advanced experimental and computational mechanics problems. A relevant area of focus within the group includes the development of novel measurement methods to study medical devices and suitable simulated environments for biomechanical testing. There is a wide range of expertise within the BEST Lab to support on specialist topics as well as interdisciplinary skills development of the successful candidate

Candidates must hold a UK Bachelor degree with a minimum of Upper Second Class honours in Engineering or similar relevant science discipline, or overseas Bachelor degree deemed equivalent to UK Bachelor (by UK ECCTIS) and achieved a grade equivalent to UK Upper Second Class honours in Engineering or similar relevant science discipline – see country specific qualifications.

If you have any questions regarding your academic or fee eligibility based on the above, please email pgrscholarships@swansea.ac.uk with the web-link to the scholarship(s) you are interested in. 

This scholarship covers the full cost of tuition fees and an annual stipend at UKRI rate (currently £19,237 for 2024/25).

Additional research expenses of up to £1,000 per year will also be available.

To apply, please complete your application online with the following information:

1. Course choice – please select as per preferred start date, either -  
   For April 2025 start select:
   Chemical Engineering/ PhD / Full-time / 3 Years / April
   OR
   July 2025 start select:
   Chemical Engineering/ PhD / Full-time / 3 Years / July
   
   

   In the event you have already applied for the above programme previously, the application system may issue a warning notice and prevent application, in this event, please email pgrscholarships@swansea.ac.uk where staff will be happy to assist you in submitting your application.

2. Start year – please select 2025
3. Funding (page 8) –

• ‘Are you funding your studies yourself?’ – please select No
• ‘Name of Individual or organisation providing funds for study’ – please enter ‘RS744 - Cellular Microfluidic Sensors’

*It is the responsibility of the applicant to list the above information accurately when applying, please note that applications received without the above information listed will not be considered for the scholarship award.

One application is required per individual Swansea University led research scholarship award; applications cannot be considered listing multiple Swansea University led research scholarship awards.

As part of your online application, you MUST upload the following documents (please do not send these via email):

• CV including a list of publications
• Degree certificates and transcripts (if you are currently studying for a degree, screenshots of your grades to date are sufficient)
• A cover letter including a ‘Supplementary Personal Statement’ to explain why the position particularly matches your skills and experience and how you choose to develop the project.
• Two references (academic or previous employer) on headed paper or using the Swansea University reference form. Please note that we are not able to accept references received citing private email accounts, e.g. Hotmail. Referees should cite their employment email address for verification of reference.
• Evidence of meeting English Language requirements (if applicable).
• Copy of UK resident visa (if applicable)
• Confirmation of EDI form submission

Informal enquiries are welcome; please contact Dr Francesco Del Giudice (francesco.delgiudice@swansea.ac.uk).

*External Partner Application Data Sharing – Please note that as part of the scholarship application selection process, application data sharing may occur with external partners outside of the University, when joint/co- funding of a scholarship project is applicable.