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PhD Studentship on Wearable Sensors2023 April 19

Project details: Wearable sensors provide a continuous and unobtrusive way to monitor an individual’s health and well-being in their daily lives. This project involves working on the cutting-edge of cluster analysis methods for sensor data. Different from traditional machine learning methods (for multivariate data), we will develop functional data clustering methods, motivated by the fact that sensor data can be naturally modelled by curves that denote continuous functions of time. You will be supervised by Dr Mimi Zhang (primary supervisor) and Dr. Shirley Coyle (co-supervisor). More information can be found here (Code: 2023TCD07): Salary: Each student who is admitted to this programme will receive a full scholarship to undertake a four-year structured PhD programme. This scholarship comprises full payment of university fees for four years and a tax-free stipend of €19,000 per annum for four years. In addition, a generous budget for conference travel, equipment, training, placement maintenance and publication costs is provided. Candidate description: A Bachelor’s degree in statistics, math, computer science, or closely related subjects is required. The candidate is expected to have a sound theoretical and practical knowledge on statistics, as well as strengths in programming. How to apply: Our D-REAL centre will collect all the applications. For more information on how to apply, please visit here:


PhD Studentship on Wearable Sensors.pdf