PhD Studentship: Remote patient monitoring using wearable devices and AI

About the Project

Remote patient monitoring facilitated by mobile sensing technology is on the way to changing how patients are monitored and treated. By analysing extensive data from wearable devices and smartphones, you will build AI-based models that can lead to early detection of potential health issues and personalised interventions. The integration of AI and remote patient monitoring holds immense promise for improving healthcare outcomes.

In this PhD project, you will conduct a comprehensive analysis of extensive datasets such as Mobilise-D. Your primary tasks will include: 1) to extract meaningful features from these sensor data and apply machine learning algorithms to predict health outcomes; 2) to explore advanced deep learning methodologies to further exploit the information embedded within the data, with the goal of improving prediction accuracy. The targeted medical conditions for analysis may include multiple sclerosis and Parkinson’ s disease.

For informal discussion about the project, please contact Dr. Shaoxiong Sun, [email protected]. Please add quote [PHD-AI4Health] in the email subject line.

Supervisor Bio

Dr. Shaoxiong Sun is a Lecturer in Pervasive Data Science at the Department of Computer Science, the University of Sheffield. Previously, he was a Senior Research Associate in Data Science in Mobile Health at King’s College London. Dr. Sun's research interests primarily revolve around physiological and behavioural monitoring, leveraging advanced signal processing and machine learning methodologies.

About the Department & Research Group

The role will be based at the Department of Computer Science, the University of Sheffield. 99 percent of our research is rated in the highest two categories in the REF 2021, meaning it is classed as world-leading or internationally excellent. We are rated as 8th nationally for the quality of our research environment, showing that the Department of Computer Science is a vibrant and progressive place to undertake research.

Candidate Requirements

Minimum 2.1 degree in a relevant discipline (e.g., Computer Science, Electrical Engineering, and Biomedical Engineering), or its international equivalent.

If English is not your first language, you must have an IELTS score of 6.5 overall, with no less than 6.0 in each component.

Self-motivated and passionate about conducting research in artificial intelligence (AI) and its applications in healthcare innovations.

Proficient in machine learning and signal processing, with hands-on experience in applying these techniques to real-world datasets.

Strong programming skills in Python and/or MATLAB.

Demonstrated experience in preparing scientific manuscripts for journals or conferences.

How to Apply

To apply for a PhD studentship, applications must be made directly to the University of Sheffield using the Postgraduate Online Application Form. Make sure you name Dr. Shaoxiong Sun as your proposed supervisor.

Information on what documents are required and a link to the application form can be found here -https://www.sheffield.ac.uk/postgraduate/phd/apply/applying

The form has comprehensive instructions for you to follow, and pop-up help is available.

Funding Notes

This PhD studentship will cover standard UK home tuition fees and provide a tax-free stipend at the standard UK Research Council rate (currently £18,622 for 2023/24) for 3.5 years. If you are an overseas student, you are eligible to apply but you must have the means to pay the difference between the UK and overseas tuition fees by securing additional funding or self-funding. Further information on International fees can be found here - https://www.sheffield.ac.uk/new-students/tuition-fees/fees-lookup