Research Associate – Artificial Intelligence in Cardiac MRI

To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria 1. PhD or equivalent (or thesis submitted*) in at least one of the following subjects: Computer Science, Machine Learning, Biomedical Engineering, Medical Imaging, Applied Mathematics, or a closely related area.
2. Demonstrated competence in machine learning, including experience with medical image analysis, computer vision, or related AI methodologies.
3. Experience working with large language models (LLMs) and/or NLP pipelines, including prompt engineering, fine-tuning or evaluation.
4. Ability to work effectively within a collaborative software development environment and to engage constructively with colleagues from diverse academic and clinical backgrounds.
5. Strong organisational skills, with the ability to manage tasks independently, meet deadlines and work calmly under pressure.
6. Strong software development skills in Python, with experience integrating ML components into larger software systems.
7. Experience with modern machine learning frameworks (e.g. PyTorch, TensorFlow) and related tooling.
8. Highly developed verbal and written communication skills, including the ability to present complex technical ideas clearly and to collaborate with staff across different levels and disciplines. Desirable criteria 1. Knowledge of medical imaging, particularly CMR, and/or familiarity with DICOM and clinical imaging workflows.
2. Experience with medical image analysis or computer vision packages and associated toolkits.
3. Experience with healthcare data standards (HL7, FHIR) or integration with electronic patient record systems.
4. Experience with standard software engineering practices, including version control systems (e.g. Git), software testing methodologies and collaborative code development. 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 page. 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 At King’s, we believe that the diversity of our community and a culture that is welcoming, open, inclusive and collaborative, are great strengths of the university. The Equality Act of protects the rights of our students and staff and provides a framework to fulfil our duties to eliminate unlawful discrimination, harassment and victimisation and in addition, to advance equality of opportunity and foster good relations between those who share a protected characteristic and those who do not. At times, this will include balancing rights and beliefs that can feel in tension. We are committed to free speech and to academic freedom, believing that our foundational purpose as a university, is to create spaces where a wide range of ideas, including ideas that are controversial, can be discussed and debated, and where members of our community can express lawful views without fear of intimidation, harassment or discrimination. When engaging in the robust exchange of ideas, we ask that our community is mindful of our Dignity at King’s guidance. 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 person specification section of the job description. 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.