Research Associate in Accessible Magnetic Resonance Technology

Corehr; London; On-site; GBP 44,000 - 52,000; Full time

Job summary

A leading academic institution in London seeks a Research Associate in Accessible Magnetic Resonance Technology. This role focuses on developing digital twin models for sustainable MRI systems, involving AI and collaborations with global partners. Candidates should have a PhD or be nearing completion, with strong experience in scientific computing and MRI technologies.

Qualifications

• PhD awarded (or pending) in relevant subject area.
• Strong background in coding for modelling/data processing.

Responsibilities

• Lead role in modelling low-cost MRI systems.
• Develop AI-driven control methods and validate performance.

Skills

Scientific Computing

Data Modelling

AI/Machine Learning

Magnetic Resonance Imaging

Independent Work

Education

PhD in relevant subject area

Tools

MRI Technology

MR System Engineering

Job description

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Research Associate in Accessible Magnetic Resonance Technology

Department : Res Dept of Imag Phys & Eng

About Us

Situated at St Thomas’ Hospital in the heart of central London, theImaging Physics and Engineeringdepartment brings together physicists, engineers, and clinicians to develop cutting-edge imaging technologies that directly impact patient care.

As part of the School of Biomedical Engineering & Imaging Sciences—an internationally leading centre for healthcare engineering—we benefit from close links to clinical practice and a vibrant, multidisciplinary research environment.

This creates a unique opportunity to contribute to translational science at one of the UK's top academic institutions.

About The Role

The project focuses on the development of computational “digital twin” models and novel control strategies for sustainable MRI in low- and middle-income settings. You will take a lead role in modelling the behaviour of low-cost MRI systems, developing AI-driven control methods, and validating performance through both simulation and hands-on experiments, including collaborations with international partners.

This is a unique opportunity to contribute to cutting-edge research at the interface of medical imaging, AI, and global health. You will be part of a multidisciplinary team with strong links to clinical practice and a shared goal of advancing MRI technology for broader, equitable access.

The role will offer opportunities for travel, publication, and collaboration across a global network of academic and clinical partners. Candidates should hold (or be close to completing) a PhD in a relevant field and have strong experience in scientific computing and data modelling. Experience with MRI, AI/machine learning, or imaging hardware is desirable.

This is a full time post (35 Hours per week).

About You

To be successful in this role, we are looking for candidates to have the following skills and experience:

• PhD awarded (or pending) in relevant subject area
• Strong background in coding for modelling/data processing in a scientific context
• Ability to work independently
• Track record of written publications and presentations at conferences
• Willingness to travel for performing experiments with collaborators if the requirements of the project demand
• Experience of using Magnetic Resonance Imaging and allied technologies
• Knowledge of MR system engineering (hardware)
• Experience with training AI/machine learning models

Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will be made at Grade 5, spine point 30 with the title of Research Assistant. Upon confirmation of the award of the PhD, the job title will become Research Associate and the salary will increase to Grade 6.

Further Information

We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community.

We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's.

We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible.

To find out how our managers will review your application, please take a look at our ‘How we Recruit’ pages.

Grade and Salary : £44,355 - £51,735 per annum inclusive of London Weighting Allowance Job ID : 114087

Post Date : 30-Apr-2025 Close Date : 28-May-2025

Contact Person : Shaihan Malik Contact Details : [e-mail]

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