This is a unique opportunity for an early career biomedical engineer wishing to develop their research with a multidisciplinary focus, working at the intersection of Artificial Intelligence, data science and biomedical modeling. This post is funded by a UKRI Project Grant.
You will be part of CVD Net and will work collaboratively with other institutions including the Alan Turing Institute, University of Sheffield and University of Nottingham to design and build cardiac digital twins from health data to accurately track changes to disease progression and responses to treatment for patients with pulmonary arterial hypertension (PAH).
You will also be part of the Cardiac Electro-Mechanics Research Group (CEMRG) at Imperial College London which applies statistical, machine learning and simulation approaches to combine experimental and clinical data with physics and biology to study the physiology, pathology, diagnosis and treatment of the heart.
What you would be doing
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In this post, the you will will work at the interface of artificial intelligence, data science, and biomedical modelling to accelerate the creation and validation of cardiac digital twins. Your work will contribute to the advancement of digital twin technology in healthcare to enhance cardiovascular health research and improve personalized treatments.
You will facilitate the integration of multiple datasets, including imaging, clinical, and demographic information and develop and apply machine learning techniques to accelerate simulations and extract insights from complex model outputs.
What we are looking for
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A PhD in (or equivalent experience) in Biomedical Engineering, Computer Science, Data Science, AI/ML, Computational Biology, or a related field
Candidates who have not yet been officially awarded their PhD will be appointed as a Research Assistant within the salary range 43,003 - 46,297 per annum
Knowledge, first-hand experience, and technical proficiency of computational modeling techniques in healthcare or biomedical sciences, cloud-based computing and in programming languages such as Python.
Experience working with medical imaging and/or mapping data in a research environment and proficiency in data preprocessing, analysis, and interpretation
Experience in publishing open-source software and contributing to projects.
This is an exciting opportunity to work in a dynamic, multidisciplinary environment at the forefront of AI-driven biomedical research, combining computational modeling, clinical data science, and artificial intelligence to develop digital twins that improve our understanding of cardiovascular health and disease, ultimately leading to more personalized and effective treatments.
You will be excellent and ambitious and will use the ample opportunities available at Imperial College to further progress toward a fellowship (through grant applications, with institutional support).
What we can offer you
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Supporting you in developing your career into an independent researcher at a world-leading institution
Working with the Cardiac Electro-Mechanics Research group led by Prof. Steven Niederer
Sector-leading salary and remuneration package (including 39 days off a year)
Further information
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The post is full time, fixed term with funding available until 31 August 2028 and the possibility of an extension. The post is available immediately and will be based within the National Heart and Lung Institute on the Hammersmith Campus. This post is computer based so there is opportunity for hybrid working however you are expected to be available in person minimum 3 days a week as per university policy.
If you require any further details on the role, please contact: Prof. Steven Niederer s.niederer@imperial.ac.uk
Available documents
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Attached documents are available under links. Clicking a document link will initialize its download.
Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above.
We reserve the right to close the advert prior to the closing date stated should we receive a high volume of applications. It is therefore advisable that you submit your application as early as possible to avoid disappointment.
If you encounter any technical issues while applying online, please don't hesitate to email us at support.jobs@imperial.ac.uk. We're here to help.
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About Imperial
Welcome to Imperial, a global top ten university where scientific imagination leads to world-changing impact.
Join us and be part of something bigger. From global health to climate change, AI to business leadership, here at Imperial we navigate some of the world's toughest challenges. Whatever your role, your contribution will have a lasting impact.
As a member of our vibrant community of 22,000 students and 8,000 staff, you'll collaborate with passionate minds across nine London campuses and a global network.
This is your chance to help shape the future. We hope you'll join us at Imperial College London.
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Our Culture
We work towards equality of opportunity, to eliminating discrimination, and to creating an inclusive working environment for all. We encourage applications from all backgrounds, communities and industries, and are committed to employing a team that has diverse skills, experiences and abilities. You can read more about our commitment on our webpages.
Our values are at the root of everything we do and everyone in our community is expected to demonstrate respect, collaboration, excellence, integrity, and innovation.
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