PhD Studentship - Continuous Monitoring and Data Analytics in Neonatal Care

Applications are invited for a PhD studentship in Neonatal Monitoring and Data Analytics. The post is a joint appointment between the University of Cambridge Departments of Engineering and Paediatrics. Neonatal intensive care (NICU) presents unique challenges in monitoring vital signs while supporting developmental and psychological needs of preterm infants and their families. The collaboration between the Department of Paediatrics and Engineering has been exploring novel continuous monitoring systems to support a more holistic approach to care, including non-contact monitoring specifically designed for use in the unique setting of NICU using RGB-D (red-green-blue-depth) cameras. The successful applicant will join the team exploring data science and AI for neonatal care. Areas of work will include development of algorithms for real-time signal processing and anomaly detection, applying big data analytics and deep learning to NICU datasets for predictive modelling of clinical outcomes, and investigating integration of multimodal data streams to support decision-making and improve patient care. The award covers consumables (£12,000) and travel expenses (£4,400) for the duration of the PhD.