Particulars
Synthetic intelligence (AI) has permeated numerous facets of recent life, considerably influencing the healthcare sector. Fuelled by this momentum, distant affected person monitoring facilitated by cellular sensing expertise is on the best way to altering how sufferers are monitored and handled. By analysing in depth information from wearable units and smartphones, you’ll construct AI-based fashions that may result in early detection of potential well being points and personalised interventions. The combination of AI and distant affected person monitoring holds immense promise for enhancing healthcare outcomes.
On this PhD mission, you’ll conduct a complete evaluation of intensive datasets, akin to RADAR-CNS and/or Mobilise-D, collected from massive cohorts of people monitored remotely for over two years. These datasets embody a various vary of physiological and behavioural parameters, together with coronary heart price, sleep patterns, bodily exercise, GPS location, and telephone/app use. They signify probably the most in depth observational research utilising wearable units so far.
Your main duties will embrace: 1) to extract significant options from these sensor information and apply machine studying algorithms to foretell well being outcomes; 2) to discover superior deep studying methodologies to additional exploit the knowledge embedded inside the information, with the aim of enhancing prediction accuracy. The focused medical situations for evaluation could embrace despair, a number of sclerosis, and Parkinson’ s illness.
For casual dialogue concerning the mission, please contact Dr. Shaoxiong Solar, [email protected]. Please add quote [PHD-AI4Health] within the e-mail topic line.
Supervisor Bio
Dr. Shaoxiong Solar is a Lecturer in Pervasive Knowledge Science on the Division of Pc Science, the College of Sheffield. Beforehand, he was a Senior Analysis Affiliate in Knowledge Science in Cellular Well being at King’s Faculty London. Dr. Solar’s analysis pursuits primarily revolve round physiological and behavioural monitoring, leveraging superior sign processing and machine studying methodologies. Dr. Solar has over 30 peer-reviewed publications and a pair of patents granted by way of the PCT system.
In regards to the Division & Analysis Group
The function will likely be based mostly on the Division of Pc Science, the College of Sheffield. 99 % of our analysis is rated within the highest two classes within the REF 2021, that means it’s classed as world-leading or internationally glorious. We’re rated as eighth nationally for the standard of our analysis surroundings, displaying that the Division of Pc Science is a vibrant and progressive place to undertake analysis. The profitable candidate will be a part of the Pervasive Computing analysis group. Its analysis focuses on the utilisation of cellular or pervasive sensing strategies to assist sooner and safer preventive care, improved patient-centred apply, and enhanced sustainability.
Candidate Necessities
Minimal 2.1 Bachelor’s diploma or Grasp’s diploma in a related self-discipline (e.g., Pc Science, Electrical Engineering, Biomedical Engineering, and Bioinformatics), or its worldwide equal.
Self-motivated and captivated with conducting analysis in synthetic intelligence (AI) and its purposes in healthcare innovation.
Proficient in information analytics, machine studying and sign processing (time collection evaluation), with hands-on expertise in making use of these strategies to real-world datasets.
Robust programming expertise in Python and/or MATLAB.
Demonstrated expertise in making ready scientific manuscripts for journals or conferences.
Find out how to Apply
To use for a PhD studentship, purposes have to be made on to the College of Sheffield utilizing the Postgraduate On-line Utility Kind. Be sure to title Dr. Shaoxiong Solar as your proposed supervisor.
Data on what paperwork are required and a hyperlink to the appliance kind will be discovered right here –https://www.sheffield.ac.uk/postgraduate/phd/apply/applying
The shape has complete directions so that you can comply with, and pop-up assist is out there.
Funding Notes
This PhD studentship will cowl commonplace UK residence tuition charges and supply a tax-free stipend at the usual UK Analysis Council price (presently £18,622 for 2023/24) for 3.5 years. If you’re an abroad pupil, you might be eligible to use however you need to have the means to pay the distinction between the UK and abroad tuition charges by securing further funding or self-funding. Additional info on Worldwide charges will be discovered right here https://www.sheffield.ac.uk/new-students/tuition-fees/fees-lookup
References
1) Solar S, Folarin AA, Zhang Y, et al.. The utility of wearable units in assessing ambulatory impairments of individuals with a number of sclerosis in free-living situations. Comput Strategies Applications Biomed. 2022 Dec;227:107204.
2) Solar S, Folarin AA, Zhang Y, et al. Challenges in Utilizing mHealth Knowledge From Smartphones and Wearable Units to Predict Melancholy Symptom Severity: Retrospective Evaluation. J Med Web Res. 2023 Aug 14;25:e45233.
3) Dunn J, Kidzinski L, Runge, R et al. Wearable sensors allow personalised predictions of medical laboratory measurements. Nat Med 27, 1105–1112 (2021).
