Overview
We are recruiting for an exceptional Doctoral (PhD) Candidate to join the new MSCA Doctoral Network FairCFD (https://www.imft.fr/faircfd/project-presentation/). The candidate will enrol for a PhD in Chemical Engineering at the University of Cambridge, under the supervision of Prof. Andy Sederman.
Research Focus
FairCFD offers a unique opportunity to engage in experimental research linked to computational fluid dynamics (CFD) and more broadly engaging with scientific computing. The candidate will develop advanced experimental and data analysis skills and work closely with the Doctoral candidate in Cambridge on data assimilation (https://www.imft.fr/dc10-arterial-circulation/).
The objectives of the proposed study are:
* Design and run Flow MRI experiments on a range of non‑Newtonian fluids in steady and periodic flow.
* Develop and optimise MRI acquisition strategies to improve the efficiency of data collection and enhance spatial and temporal resolution.
* Increase the quantitative accuracy of Flow MRI data through improved reconstruction, and uncertainty estimation.
* Assess the ability to accurately model these complex fluids by using adjoint accelerated Bayesian inference with the experimental Flow MRI data.
Implementation of new Flow‑MRI acquisition and reconstruction strategies will enable measurement of flows at greater resolution and fidelity than possible previously, suitable for applications in the healthcare sector (blood flow in hearts and arteries) and assessing rheology models in process fluids and foods.
Opportunities and Support
In addition, the postholder will benefit from a unique breadth of experiences including:
* Contribute to technological innovation in health/food industries by developing advanced and efficient data measurement strategies.
* Join a vibrant network of 15 doctoral candidates across 9 European countries, with access to network events, high‑level training to technical and transverse skills, and secondments in both academic and industrial environments.
* Take part in a network‑wide interdisciplinary effort to define and promote numerical sustainability in scientific research.
The project involves secondments at the KTH (Stockholm, Sweden) and the University of Salerno (Salerno, Italy).
Applicants and Requirements
Applicants for the studentships must have a First Class (or a high 2:1) or equivalent degree in a relevant discipline such as chemical engineering, engineering or physics and must not have spent more than 12 months in the UK for the past 3 years.
The successful candidate would be employed as a Research Assistant and must apply for admission as a PhD student with the University and be able to meet our criteria for admission. Applications must also be made by the closing date.
Application Details
Fixed‑term: The funds for this post are available for 3 years in the first instance.
Applications closing date: 26th of April 2026. Please quote reference NQ49025 on your application and in any correspondence about this vacancy.
Should you require any further details on the role, please contact Prof. Andy Sederman at ajs40@cam.ac.uk. If you have questions on the application process, please email Mr Vito Candela, HR Administrator, at hr@ceb.cam.ac.uk.
Equality, Diversity and Inclusion
The University actively supports equality, diversity and inclusion and encourages applications from all sections of society. The University has a responsibility to ensure that all employees are eligible to live and work in the UK.
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