Research Associate in Computational Tools for Cardiovascular Digital Twins
| Posting date: | 12 August 2025 |
|---|---|
| Hours: | Full time |
| Closing date: | 11 September 2025 |
| Location: | Sheffield, S10 2TN |
| Company: | University of Sheffield |
| Job type: | Temporary |
| Job reference: | 1319-43585248 |
Summary
University of Sheffield
We welcome applications for a postdoctoral research associate position, funded as part of an EPSRC Programme Grant “Networks of Cardiovascular Digital Twins (CVD-Net)”. This is an exciting opportunity to be part of a revolution in the way that healthcare is delivered.
This position is funded as part of an £8M EPSRC programme grant “Networks of Cardiovascular Digital Twins (CVD-Net)”, which is jointly held by Imperial College London, the Universities of Sheffield and Nottingham, and the Alan Turing Institute. The wider focus of this research programme is to develop both physics-based and data-driven models of heart function and blood flow through the cardiovascular system that are personalised to individual patients and updated whenever new data from wearable and implanted sensors are available. This post will focus on using these agile and personalised digital twins to forecast the disease trajectories of individual patients, and to assess the value of model-based forecasting over purely data based methods.
You will be working as part of a friendly and interdisciplinary research team based across all four institutions that includes other postdoctoral research assistants, PhD students, and software developers, all working at the interface between engineering and clinical medicine. Your focus will be on developing computational tools to enable forecasting of disease trajectories.
You will hold (or be very close to completion of) a PhD in Mathematics, Computer Science, Engineering, Statistics, or a related area, with a track record in statistical methods and their application to engineering problems in healthcare, excellent coding skills, and a solid mathematics background (or have equivalent experience). You should also have experience of working with cardiac and cardiovascular system models, large scale scientific computing, and the development and management of research code. We’re especially interested to hear from ambitious researchers with an appetite for working in a vibrant interdisciplinary environment, and a strong desire to build tools that will make a difference to patients.
We’re one of the best not-for-profit organisations to work for in the UK. The University’s Total Reward Package includes a competitive salary, a generous Pension Scheme and annual leave entitlement, as well as access to a range of learning and development courses to support your personal and professional development.
We build teams of people from different heritages and lifestyles from across the world, whose talent and contributions complement each other to greatest effect. We believe diversity in all its forms delivers greater impact through research, teaching and student experience.
We welcome applications for a postdoctoral research associate position, funded as part of an EPSRC Programme Grant “Networks of Cardiovascular Digital Twins (CVD-Net)”. This is an exciting opportunity to be part of a revolution in the way that healthcare is delivered.
This position is funded as part of an £8M EPSRC programme grant “Networks of Cardiovascular Digital Twins (CVD-Net)”, which is jointly held by Imperial College London, the Universities of Sheffield and Nottingham, and the Alan Turing Institute. The wider focus of this research programme is to develop both physics-based and data-driven models of heart function and blood flow through the cardiovascular system that are personalised to individual patients and updated whenever new data from wearable and implanted sensors are available. This post will focus on using these agile and personalised digital twins to forecast the disease trajectories of individual patients, and to assess the value of model-based forecasting over purely data based methods.
You will be working as part of a friendly and interdisciplinary research team based across all four institutions that includes other postdoctoral research assistants, PhD students, and software developers, all working at the interface between engineering and clinical medicine. Your focus will be on developing computational tools to enable forecasting of disease trajectories.
You will hold (or be very close to completion of) a PhD in Mathematics, Computer Science, Engineering, Statistics, or a related area, with a track record in statistical methods and their application to engineering problems in healthcare, excellent coding skills, and a solid mathematics background (or have equivalent experience). You should also have experience of working with cardiac and cardiovascular system models, large scale scientific computing, and the development and management of research code. We’re especially interested to hear from ambitious researchers with an appetite for working in a vibrant interdisciplinary environment, and a strong desire to build tools that will make a difference to patients.
We’re one of the best not-for-profit organisations to work for in the UK. The University’s Total Reward Package includes a competitive salary, a generous Pension Scheme and annual leave entitlement, as well as access to a range of learning and development courses to support your personal and professional development.
We build teams of people from different heritages and lifestyles from across the world, whose talent and contributions complement each other to greatest effect. We believe diversity in all its forms delivers greater impact through research, teaching and student experience.