本期为大家推荐谢菲尔德大学、悉奥克兰大学2025最新奖学金介绍。
1、谢菲尔德大学
Remote patient monitoring using wearable devices and AI
University of Sheffield|School of Computer Science
博导：Dr Shaoxiong Sun
截止日期：January 02, 2025， 周四
资助的博士项目（全球学生）
About the Project
Artificial intelligence (AI) has permeated various aspects of modern life, significantly influencing the healthcare sector. Fuelled by this momentum, 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 RADAR-CNS and/or Mobilise-D, collected from large cohorts of individuals monitored remotely for over two years. These datasets encompass a diverse range of physiological and behavioural parameters, including heart rate, sleep patterns, physical activity, GPS location, and phone/app use. They represent the most extensive observational studies utilising wearable devices to date.
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 depression, multiple sclerosis, and Parkinson’ s disease.
For informal discussion about the project, please contact Dr. Shaoxiong Sun,shaoxiong.sun@sheffield.ac.uk. 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. Dr. Sun has over 30 peer-reviewed publications and 2 patents granted through the PCT system.
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. The successful candidate will join the Pervasive Computing research group. Its research focuses on the utilisation of mobile or pervasive sensing techniques to support faster and safer preventive care, improved patient-centred practice, and enhanced sustainability.
Candidate Requirements
Minimum 2.1 Bachelor’s degree or Master’s degree in a relevant discipline (e.g., Computer Science, Electrical Engineering, Biomedical Engineering, and Bioinformatics), or its international equivalent.
Self-motivated and passionate about conducting research in artificial intelligence (AI) and its applications in healthcare innovation.
Proficient in data analytics, machine learning and signal processing (time series analysis), 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 £19,237 for 2024/25) 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.
2、奥克兰大学
Predicting and monitoring the health of Lake Wairewa using spatio-temporal early warning signals
University of Auckland|Department of Mathematics
博导：Dr Graham Donovan
截止日期：全年可申
资助的博士项目（全球学生）
About the Project
Do you want to do genuinely interdisciplinary research at the interface of applied mathematics, biology and freshwater ecology?
Applications are invited for a PhD scholarship at the University of Auckland to work on a project studying the health of shallow coastal lakes across Aotearoa, which are mostly in a state of decline. A number of interventions have been trialled with mixed success. Novel approaches are needed to better understand lake health and identify appropriate natural solutions or human interventions to reverse these declines.
Wairewa, a shallow polymictic shoreline lake on the southern side of Te Pātaka o Rakaihautū | Banks Peninsula, has had a troubled history. The water is turbid and prone to toxic algal blooms. The customary, highly productive tuna (eel) fishery has been the verge of collapse due to the highly degraded state of the lake.
You will use spatio-temporal early warning signals analysis to develop methods to predict and monitor the health of Wairewa. Shallow lakes are an example of bistable systems with tipping points. This project will develop both temporal and spatio-temporal models of Wairewa, in order to apply the theory of critical transitions to develop an optimal monitoring regime for lake health.
We are happy to consider students from a diverse range of fields including applied mathematics or a similar quantitative discipline. Interested students should have at least some background in differential equations, bifurcations and numerical methods.
No particular knowledge of lake biology is required, though you must at least be willing to learn! The project will also involve significant interaction with groups invested in the health of the lake, including local iwi and environmental agencies. The successful candidate will hold, or expect to complete soon, at least bachelors degree, or similar, in their disciplinary area, with a significant research project.
Financial details
- Full tuition fees
- Stipend of NZ$35,000 per year (tax free)
Start date
- The start date is flexible, but would preferably be in the first half of 2025.
How to apply
Send an email expressing your interest, along with a CV, academic record, and list of three potential referees tog.donovan@auckland.ac.nz
Applications will be considered until the position is filled.
Funding Notes
You will be part of Te Pūnaha Matatini, the Aotearoa New Zealand Centre of Research Excellence for Complex Systems. Te Pūnaha Matatini brings together ‘many faces’ – different disciplines, ways of thought, methods, and crucially, people – to define, and then solve, society’s thorny interconnected problems. Te Pūnaha Matatini has an active whānau group which supports early career researchers, committed to the Te Pūnaha Matatini values of manaakitanga and whakawhanaungatanga, offering supportive tuakana / teina learning environments.
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