Liverpool John Moores University (LJMU) is inviting applications for a Research Associate in Artificial Intelligence to contribute to TARGET’s overarching goals: develop AI-based, personalised, and integrated multi-scale computational models (virtual twins) and decision-support tools to address the disease pathway of stroke related to atrial fibrillation (AF) This is a full-time, fixed-term position for two years, with a salary range of £31,637 – £37,174 per annum. The application deadline is 25 May 2025. 

About the Project 

The successful applicant will join the School of Computer Science and Mathematics. The project focuses on the development of personalised, multi-scale computational models—virtual twins—that simulate disease progression and support clinical decision-making. These tools aim to prevent AF and related strokes, enhance treatment and rehabilitation, and improve long-term outcomes for patients while reducing healthcare costs. 

Role overview 

Key responsibilities include conducting advanced research in AI and digital twins, managing large-scale multimodal datasets, and collaborating with project partners across Europe. The postholder will contribute to publications, funding proposals, student supervision, and conferences. Maintaining data confidentiality, adhering to quality standards, and participating in sustainability and equality initiatives are also core aspects of the role. 

Candidate profile 

LJMU is looking for a highly motivated researcher with: 

- A PhD (or equivalent experience) in AI, Computer Science, Mathematics, Physics or a related field 

- A strong background in AI-based research 

- A clear interest in the field of digital twins 

- Expertise in publishing academic peer-reviewed articles 

LJMU is committed to equality, diversity, and inclusion, and encourages applications from underrepresented groups, particularly women in STEM.  

Outstanding benefits for a better work-life balance 

Liverpool John Moores University offers a competitive benefits package, including attractive salaries and generous pension contributions (up to 28.68%). Flexible working options and family-friendly policies support work-life balance. Wellbeing is a priority, with access to counselling, health initiatives, and discounted gym memberships. Employees can also engage with university-wide initiatives in sustainability, diversity, and inclusion, and access staff discounts and interest-free travel loans. 

For further information or to discuss the role, please contact Prof Ivan Olier (I.Olier@ljmu.ac.uk) or Prof Sandra Ortega-Martorell (S.OrtegaMartorell@ljmu.ac.uk).  

All applications must be submitted by midnight on 25 May 2025. 

The full role details are available in the attached document.  

To submit your application, please visit the following link.