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Welcome to LungSight
LungSight is a new research initiative designed to develop a low-cost, easy-to-use, home-based screening tool that can help detect chronic lung disease early. This digital screening tool will use a smartphone, tablet, or home computer to collect information about a person’s breathing, speech, facial and upper body movements to detect early signs of lung disease, potentially before symptoms become noticeable.

Research Fellow (Computer Vision)
We are seeking an ambitious and highly motivated Research Fellow in Computer Vision to contribute to an EPSRC-funded project, LungSight, focused on visual and acoustic screening for early detection of lung diseases.
Based in the Department of Computing and Mathematics, you will lead the design and development of AI-driven models applied to video and audio datasets, contributing to the creation of a low-cost, non-invasive screening tool for early diagnosis of chronic lung disease. LungSight’s goal is to make respiratory screening accessible, affordable, and proactive—helping clinicians diagnose earlier and empowering patients to take control of their lung health.
You will work closely with an interdisciplinary team from six institutions: Professor Moi Hoon Yap (Manchester Metropolitan University), Dr Ning Ma (University of Sheffield), Professor Anna Barney (University of Southampton), Professor Bibek Gooptu (University of Leicester), Professor Akhilesh Jha (University of Cambridge), and Dr Oliver Price (University of Leeds). The project is also delivered in partnership with Asthma + Lung UK, Yorkshire Ambulance Service NHS Trust, South Yorkshire Digital Health Hub, Yorkshire & Humber Secure Data Environment, Foundation for Genomics and Population Health, Nvidia, NIHR Cambridge Biomedical Research Centre, Aberystwyth University, and ELAROS.
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