Research Associate in Accessible Magnetic Resonance Technology - Strand, London, WC2R 2LS

TieTalent; London; On-site; GBP 40,000 - 70,000; Full time

Job summary

An established industry player is seeking a Research Associate to advance MRI technology through innovative computational models and AI-driven strategies. This full-time role offers a unique opportunity to contribute to impactful research in medical imaging and global health. Collaborate with a multidisciplinary team at a top academic institution, focusing on sustainable MRI solutions for low- and middle-income settings. Enjoy opportunities for travel and publication while working at the forefront of healthcare engineering, making a real difference in patient care and equitable access to medical technologies.

Qualifications

• Strong experience in scientific computing and data modeling.
• Experience with MRI, AI/machine learning, or imaging hardware is desirable.

Responsibilities

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

Skills

Scientific Computing

Data Modeling

AI/Machine Learning

MRI Technology

Education

PhD in a relevant field

Job description

Research Associate in Accessible Magnetic Resonance Technology - Strand, London, WC2R 2LS

About Us

Situated at St Thomas’ Hospital in 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 developing computational “digital twin” models and novel control strategies for sustainable MRI in low- and middle-income settings. You will take a lead role in modeling the behavior of low-cost MRI systems, developing AI-driven control methods, and validating performance through simulations and hands-on experiments, including collaborations with international partners.

This role offers a chance to contribute to cutting-edge research at the intersection of medical imaging, AI, and global health. You will be part of a multidisciplinary team with strong links to clinical practice, aiming to advance MRI technology for broader, equitable access.

The position includes 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 modeling. Experience with MRI, AI/machine learning, or imaging hardware is desirable.

This is a full-time position (35 hours per week).