Overview
Research Associate in Computational Tools for Cardiovascular Digital Twins
Join to apply for the Research Associate in Computational Tools for Cardiovascular Digital Twins role at The University of Sheffield.
Responsibilities
* Apply mathematical and computational expertise to refine and use a library of physics-based models of heart function and blood flow in the cardiovascular system.
* Develop methods to forecast the progression of pulmonary arterial hypertension, using personalised cardiovascular system models and healthcare data.
* Work collaboratively with the CVD-Net team to develop, establish, and maintain cohorts of cardiovascular digital twins, and to develop and implement novel methods for calibration and updating of these digital twins from patients data.
* Implement computational models within a framework that adheres to good research software engineering practice.
* Operate within the governance and ethics framework that applies to personal patient data.
* Attend regular research meetings, collaborate, and communicate with other researchers to ensure overall progress is maintained.
* Work with other investigators to identify priorities and timescales for different aspects of the research; specify, develop, and curate computational tools.
* Manage workload to meet deadlines, completing tasks on time and to a high standard, with scientific rigour and integrity.
* Maintain up-to-date knowledge of the relevant literature, technologies, and state-of-the-art.
* Plan own research activities in discussion with the supervisor team, considering resources, deadlines, milestones and overall aims.
* Write and contribute to research papers for publication in peer-reviewed journals, and give presentations at workshops and conferences.
* Travel to other centres involved in the programme for meetings and work visits as required.
* Carry out other duties, commensurate with the grade and remit of the post.
Person Specification
Our diverse community recognises the unique abilities, backgrounds, and beliefs of all. We foster a culture where everyone belongs and is respected. Please reference the application criteria in your application statement.
Essential Criteria
* Stage(s) assessed at: Application
* A PhD degree (or close to completion) in Computer Science, Mathematics, Engineering, Statistics, or related field.
* Training and experience in mathematical and statistical methods and their application to healthcare technologies research.
* Excellent programming skills in Python, Julia or similar, including scientific computing and code curation.
* Knowledge of machine learning applications in healthcare technologies.
* Experience with model-based probabilistic forecasting (Desirable).
* Experience with cardiac and/or cardiovascular system models (Desirable).
* Effective communication skills, both verbal and written.
* Peer-reviewed publications in relevant conferences/journals (Desirable).
* Ability to work effectively as part of a multidisciplinary research team that includes clinicians (Desirable).
* Ability to assess and organise resources, solve problems, and plan and progress work to meet deadlines.
Further Information
* Grade: 7
* Salary: £38,249-£45,735
* Work arrangement: Full-time
* Duration: 3 years
* Line manager: Professor Richard Clayton and Dr Xu Xu
* Direct reports: None
* Closing Date: 21 September 2025
Our offer and contact
We offer a range of benefits including generous annual leave, pension, flexible working opportunities, and development support. For informal enquiries contact Professor Richard Clayton at r.h.clayton@sheffield.ac.uk or Dr Xu Xu at xu.xu@sheffield.ac.uk. Details at the official page and benefits page: sheffield.ac.uk/jobs/benefits.
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