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

Assistant Research Professor in Physics-based Bayesian Inference for Flow-MRI

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.

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