Assistant Research Professor in Physics-based Bayesian Inference for Flow-MRI (Fixed Term)

A position exists, for an Assistant Research Professor in the Department of Engineering, to work on Physics-based Bayesian Inference for Flow-MRI.

The post holder will be located in Central Cambridge, Cambridgeshire, UK.

The key responsibilities and duties are to:

• develop and contribute to the objectives of the research project that is funding this position;
• contribute actively to research discussions and technical development within the host research group;
• meet regularly (typically weekly) in person with the host research group;
• provide research leadership to less-experienced colleagues within the host research group;
• write or contribute to research publications with the host research group;
• present the outcomes of this research at conferences;
• assess, interpret, and evaluate the outcomes of this research;
• identify sources of funding and contribute to the process of securing funds;
• work with senior group members to plan the research activities of postgraduate research students;
• provide research supervision to postgraduate research students within the host research group;
• meet regularly (typically weekly) in person with postgraduate research students to discuss their research;
• collaborate within and outside Cambridge to achieve the objectives of the research project that is funding this position;
• plan, co-ordinate, and implement aspects of the research project that is funding this position;
• manage computational resources to ensure that effective use is made of them;
• mentor colleagues with less experience and advise on personal development;
• coach and support colleagues in developing their research techniques.

The skills, qualifications and experience required to perform the role are:

• hold a PhD in Engineering or Applied Maths;
• specialist knowledge in: finite element methods for solving the Navier–Stokes equations; shape optimization with finite element methods; data assimilation with Bayesian inference into finite element models; reconstruction of phase contrast magnetic resonance imaging (MRI) from wavenumber space;
• specialist skills in: functional analysis, numerical analysis, coding with Python;
• good spoken and written English;
• demonstrated ability to work with other researchers and students;
• experience in: post-doctoral research, applying for own funding, managing own research project, managing own workload, co-supervising PhD students;
• a minimum of four strong scholarly journal publications.

Salary Range:
Assistant Research Professor: £47,389 - £59,966

Fixed-term: The funds for this post are available for 18 months in the first instance.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

Please upload your Curriculum Vitae (CV), a covering letter, and your research publication list. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application. Please submit your application by midnight on the closing date.

If you have any questions about this role, please contact Prof. Matthew Juniper (mpj1001@cam.ac.uk) for technical queries and Mrs Kate Graham (01223 766 805 or kag1000@cam.ac.uk) for procedural queries.

Please quote reference NM49542 on your application and in any correspondence about this vacancy.

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.

Key information

Department/location
Department of Engineering

Salary
£47,389-£59,966

Reference
NM49542

Category
Research

Date published
27 April 2026

Closing date
11 May 2026

Further Information ARP in Physics-based Bayesian Inference for Flow-MRI.pdf