Job Description
Job Title:  Research Associate in Cardiovascular Digital Twins
Posting Start Date:  10/04/2025
Job Id:  957
School/Department:  Mechanical, Aerospace & Civil Engineering
Work Arrangement:  Full Time (Hybrid)
Contract Type:  Fixed-term
Salary per annum (£):  38,249.00 - 46,735
Closing Date:  08/05/2025

The University of Sheffield is a remarkable place to work. Our people are at the heart of everything we do. Their diverse backgrounds, abilities and beliefs make Sheffield a world-class university.

We offer a fantastic range of benefits including a highly competitive annual leave entitlement (with the ability to purchase more), a generous pensions scheme, flexible working opportunities, a commitment to your development and wellbeing, a wide range of retail discounts, and much more. Find out more about our benefits (opens in a new window) and join us to become part of something special.

 

Overview

 

Cardiovascular digital twins are virtual replicas that continuously assimilate patient data to provide personalised predictions and inform clinical decisions. EPSRC have recently funded a collaborative project between Imperial College, Sheffield, Nottingham, The Alan Turing Institute plus other partners to develop networks of cardiovascular digital twins (CVD-Net). We are planning to use the networks of digital twins to build new types of patient care pathways for pulmonary arterial hypertension. The successful candidate will help develop the underpinning science and engineering needed for the networking of digital twins in the healthcare context. They will also take an active role in managing the project progress and collaborating closely with our partners.

 

Main duties and responsibilities

 

  • Collaborate with an interdisciplinary team to develop and implement networks of digital twins and time evolving digital threads for healthcare
  • Explore links with knowledge graphs, health-ontologies and health-datasets
  • Supervise and track project achievements and deliverables to guarantee smooth execution and progress.
  • Perform data analysis and simulations to explore the predictive capabilities of the digital threads.
  • Engage with clinical and academic partners to gather requirements and feedback, ensuring the project meets the highest standards of excellence.
  • Contribute to the preparation of research papers, reports, and presentations for dissemination at conferences and workshops.

 

Person Specification

Our diverse community of staff and students recognises the unique abilities, backgrounds, and beliefs of all. We foster a culture where everyone feels they belong and is respected. Even if your past experience doesn't match perfectly with this role's criteria, your contribution is valuable, and we encourage you to apply. Please ensure that you reference the application criteria in the application statement when you apply.

 

Essential criteria

 

  • A PhD or equivalent experience in Engineering, Computer Science, or a related field with a strong focus on techniques relevant to digital twinning. [assessed at application]
  • Proven experience in python programming and code development. [assessed at interview]
  • Experience with knowledge graphs, ontologies and databases. [assessed at interview]
  • Outstanding analytical and problem-solving skills with a keen attention to detail. [assessed at interview]
  • Strong communication and collaboration abilities to work effectively with a diverse team of researchers and clinicians. [assessed at interview]
  • A proactive and ambitious approach with the ability to handle multiple tasks and meet deadlines rigorously. [assessed at interview]

 

Desirable criteria

 

  • Familiarity with neo4j, python, Flask and software containers. [assessed at interview]
  • Familiarity with machine learning and retrieval augmented generation.  [assessed at interview]

 

Further Information

Grade: Grade 7

Salary: £38,249 to £46,735 per annum (pro-rata), with potential to progress to £51,039

Work arrangement: Full-time

Duration: 36 Months

Line manager: Theme Lead

Direct reports: N/A

Our website: https://www.sheffield.ac.uk/mac

 

For informal enquiries about this job contact
David Wagg, Professor: on
david.wagg@sheffield.ac.uk or on 0114 222 0168.

 

Next steps in the recruitment process

It is anticipated that the selection process will take place week commencing 5th May 2025. This will consist of an in-person interview. We plan to let candidates know if they have progressed to the selection stage on the week commencing 28 February 2025 If you need any support, equipment or adjustments to enable you to participate in any element of the recruitment process you can contact mac-recruiters@sheffield.ac.uk

 

Our vision and strategic plan

We are the University of Sheffield. This is our vision: sheffield.ac.uk/vision (opens in new window).
 

What we offer

  • A minimum of 41 days annual leave including bank holiday and closure days (pro rata) with the ability to purchase more.
  • Flexible working opportunities, including hybrid working for some roles.
  • Generous pension scheme.
  • A wide range of discounts and rewards on shopping, eating out and travel.
  • A variety of staff networks, providing opportunities for social interaction, peer support and personal development (for example, Race Equality, LGBT+, Women’s and Parent’s networks).
  • Recognition Awards to reward staff who go above and beyond in their role.
  • A commitment to your development access to learning and mentoring schemes; integrated with our Academic Career Pathways.
  • A range of generous family-friendly policies
    • paid time off for parenting and caring emergencies
    • support for those going through the menopause
    • paid time off and support for fertility treatment
    • and more


More details can be found on our benefits page: sheffield.ac.uk/jobs/benefits (opens in a new window).

 

We are a Disability Confident Employer. If you have a disability and meet the essential criteria for this job you will be invited to take part in the next stage of the selection process.

 

We are a research university with a global reputation for excellence. Our ideas and expertise change the world for the better, making a real difference to society. We know that when people come together with different views, approaches and insights it can lead to richer, more creative and innovative teaching and research and the highest levels of student experience. Our University Vision (www.sheffield.ac.uk/vision) outlines our commitment to building a diverse community of staff and students that recognises and values the abilities, backgrounds, beliefs and ways of living for everyone.