Remote patient monitoring using wearable devices and AI at University of Sheffield 2025

PhD Studentship in Remote Patient Monitoring Using Wearable Devices and AI

Eligibility

• The PhD Studentship in Remote Patient Monitoring Using Wearable Devices and AI is open to students with a minimum 2.1 Bachelor’s degree or a Master's degree in relevant fields such as Computer Science, Electrical Engineering, Biomedical Engineering, or Bioinformatics.
• Applicants should have experience in data analytics, machine learning, and signal processing (particularly in time series analysis), along with strong programming skills in Python or MATLAB.
• A passion for AI applications in healthcare is essential.
• The studentship is available to both UK home and overseas students, though overseas students must secure additional funding to cover the difference in tuition fees.

Benefits/Value

• The studentship covers UK home tuition fees and provides a tax-free stipend of £19,237 per year for a duration of 3.5 years.
• Overseas students are eligible to apply but must arrange for the additional tuition fee difference.
• The PhD project will involve working with real-world data from wearable devices and smartphones, applying machine learning algorithms to predict health outcomes and improve the prediction accuracy for conditions such as depression, Parkinson’s disease, and multiple sclerosis.

Application Process

• Interested candidates should apply directly to the University of Sheffield using the Postgraduate Online Application Form. Ensure to list Dr. Shaoxiong Sun as the proposed supervisor.