Research Associate in Accessible Magnetic Resonance Technology

King's College London; London; On-site; GBP 40,000 - 70,000; Full time

Job summary

An established industry player in healthcare engineering is seeking a passionate individual to lead innovative research in MRI technology. This role offers a unique opportunity to work on developing computational models and AI-driven control methods aimed at enhancing MRI accessibility in low- and middle-income settings. Join a vibrant, multidisciplinary team dedicated to making a significant impact on global health through cutting-edge imaging technologies. With opportunities for travel and collaboration across a global network, this position is perfect for those eager to contribute to meaningful advancements in medical imaging.

Qualifications

• PhD awarded or pending in a 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

Excellent Communication

Independent Work

AI/Machine Learning

Education

PhD in Relevant Field

Tools

Magnetic Resonance Imaging (MRI)

AI/Machine Learning Tools

Job description

About Us

Situated at St Thomas' Hospital in the heart of central London, the Imaging Physics and Engineering department 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:

Essential criteria

1. PhD awarded (or pending) in relevant subject area
2. Strong background in coding for modelling/data processing in a scientific context
3. Ability to work independently
4. Excellent communication skills
5. Track record of written publications and presentations at conferences
6. Willingness to travel for performing experiments with collaborators if the requirements of the project demand

Desirable criteria

1. Experience of using Magnetic Resonance Imaging and allied technologies
2. Knowledge of MR system engineering (hardware)
3. Experience with training AI/machine learning models

Downloading a copy of our Job Description

Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the next page after you click "Apply Now". This document will provide information of what criteria will be assessed at each stage of the recruitment process.

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.