Research Fellow in Image-Based Cardiac and Pulmonary Computational Modelling


About us

University College London (UCL) UCL is a multi-disciplinary university with a population of over 13,000 staff and 42,000 students from 150 different countries. Degree programmes are provided in Arts and Humanities, Built Environment, Brain Sciences, Engineering Sciences, Education, Laws, Life Sciences, Mathematical & Physical Sciences, Medical Sciences, Population Health Sciences and Social and Historical Sciences. For more information, please visit UCL Mechanical Engineering UCL Mechanical Engineering has been pioneering the development of engineering education, having taught the core discipline for over 165 years. UCL was home to the UK’s first ever Professor of the Mechanical Principles of Engineering, Eaton Hodgkinson, in 1847.

About the role

Would you like to help generate, visualise, analyse, and model some of the world’s newest and highest resolution ex vivo bioimaging data of intact human organs and joints? A new Research Fellow position is available to join the team doing this work, with your post having a focus on performing in situ image-based modelling. This will provide new insights into the multi-scale anatomical and structural characteristics of organ muscle and vasculature, with a goal of improving treatments such as angioplasty. You will be based at UCL Mechanical Engineering, developing and applying image-based modelling strategies to Hierarchical Phase-Contrast Tomography data (HiP-CT, see You will also travel regularly to the European Synchrotron (Grenoble) helping perform in situ experiments using HiP-CT, including helping with reconstruction, analysis, and training others. This post is funded for 3 years in the first instance, ! with the possibility of renewal and with potential progression once in post to £51,247. A job description and person specification can be accessed at the bottom of this page. If you wish to discuss the post informally, please contact Peter Lee (), or for application process queries Ruikang Xue ().

About you

The post will require a motivated researcher with experience in developing test rigs, reconstructing and analysing 4D volumes, and segmenting the images for use in image-based modelling. You will have a PhD and extensive knowledge and expertise in a relevant field. It is desirable to have experience in handling large data. Your expertise should be at a level appropriate for the conduct of research and publishing new knowledge in leading international research journals. The post-holder will need to show a high level of initiative and an ability to work collaboratively and independently. Applicants should have good team-working skills and a strong command of English. You will join a dynamic international multidisciplinary group of academics, clinicians, beamline scientists, post-docs and PhD students developing and applying synchrotron X-ray and other techniques to study biological systems. You will report to Profs Peter Lee and Ryo Torii at UCL.

What we offer

For information about our rewards and benefits please visit .

Our commitment to Equality, Diversity and Inclusion

As London’s Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world’s talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong. We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL’s workforce. These include people from Black, Asian, and ethnic minority backgrounds; disabled people and LGBTQI+ people.

Customer advert reference: B04-03399

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