EPSRC DTP Studentship - Physics-enhanced velocimetry of Flow-MRI images

The University of Cambridge is one of the world's oldest universities and leading academic centres. If you're looking for a new challenge and would like excellent benefits, extensive learning opportunities and a stimulating working environment in return for your skills and contribution, there could be a job here for you.

We are looking for a PhD student to work with Prof. Matthew Juniper and Dr. Alexandros Kontogiannis (EPSRC post-doctoral Fellow) on Physics-enhanced velocimetry of Flow Magnetic Resonance Imaging (Flow-MRI). Flow-MRI simultaneously measures all three velocity components of a flow in three spatial dimensions and one time dimension. This data contains high quality information about the flow but suffers from a low signal-to-noise ratio and the need for time-consuming post-processing. We will enhance the spatial and temporal resolution of Flow-MRI images by combining high quality Flow-MRI data with high quality prior information: that the flow obeys conservation of mass and momentum.

We achieve this by assimilating data directly into a Finite Element computational fluid dynamics (CFD) code using adjoint-accelerated Bayesian Inference. We have proven this concept in steady laminar flows and are searching for a PhD student to work with us to extend this method to periodic and turbulent flows. The expected outcome will be a step-change improvement in Flow-MRI image quality for 3D time-evolving flows. We estimate from our previous work that, by imposing high quality priors, equivalent information can be extracted from around 100 times less data than current methods.

In this project we will collaborate with the School of Clinical Medicine and the Chemical Engineering and Biotechnology Department at Cambridge. We may also collaborate with colleagues at Stanford and Purdue in the USA. This project would suit a student with strong skills in mathematics, numerical analysis, or programming, and an interest in fluid mechanics.

EPSRC DTP studentships are fully-funded (fees and maintenance) for students eligible for Home fees. EU and international students may be considered for a small number of awards at the Home fees rate. Full eligibility criteria can be found via the following link; https://www.postgraduate.study.cam.ac.uk/finance/fees/what-my-fee-status

Applicants should have strong skills in mathematics, numerical analysis, or programming, and an interest in fluid mechanics. They should have (or expect to obtain by the start date) a degree in an appropriate subject.

To apply for this studentship, please send your two page CV and course transcripts (if available) to Prof. Matthew Juniper to arrive no later than 20th February 2024. Applications may close early if the position is filled before this date.

Please note that any offer of funding will be conditional on securing a place as a PhD student. Candidates will need to apply separately for admission through the University's Graduate Admissions application portal; this can be done before or after applying for this funding opportunity. The applicant portal can be accessed via: www.graduate.study.cam.ac.uk/courses/directory/egegpdpeg. The final deadline for PhD applications is 16 May 2024, although it is advisable to apply earlier than this.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

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