Machine learning is extremely pervasive today, especially in the health data domain where highly privacy sensitive user data is used. For example, genomic data of users are extremely sensitive and unique per user, which makes users uniquely identifiable through their genomic data. In addition, health data generated by users’ wearables is rich of data that can leak information about users’ lifestyle and whereabouts. Furthermore, user clinical data must be strictly protected. The objective of this study is to protect user privacy while crosslinking the aforementioned three sensitive data types (genomic, wearable and clinical) for effective yet privacy-friendly machine learning. This fully funded project will advance the state-of-the-art machine learning techniques by developing advanced privacy enhancing technologies utilising the properties of secure multiparty computation and homomorphic encryption.
In addition, the PhD student will be supervised jointly by research experts in two world-leading institutions – the University of Manchester (UoM) and the Institute for Infocomm Research (I²R) Singapore. The student will be hosted by both organisations: Year 1 & 4 at UoM in the UK and Year 2 & 3 at I²R in Singapore.
For informal enquiries about the project, please contact Dr Mustafa A. Mustafa: [Email Address Removed].
Entry Requirements:
Applicants must have obtained, or be about to obtain, at least an upper second class honours degree or the equivalent qualification gained outside the UK, in an appropriate area of science, engineering or technology.
UK applicants interested in this project should make direct contact with the Principal Supervisor to arrange to discuss the project further as soon as possible. International applicants (including EU nationals) must ensure they meet the academic eligibility criteria (including English Language) as outlined before contacting potential supervisors to express an interest in their project. Eligibility can be checked via the University Country Specific information page (https://www.manchester.ac.uk/study/international/country-specific-information/).
Some restrictions apply to applicants from certain Asian countries. In general, students from Europe, the Americas, Africa, Australia, New Zealand, Korea and Japan are eligible to apply for the programme. Unfortunately, we cannot accept applications from south-east Asian countries such as Singapore, China and Malaysia.
If your country is not listed you must contact the Doctoral Academy Admissions Team providing a detailed CV (to include academic qualifications – stating degree classification(s) and dates awarded) and relevant transcripts.
Following the review of your qualifications and with support from potential supervisor(s), you will be informed whether you can submit a formal online application.
Equality, diversity and inclusion is fundamental to the success of The University of Manchester and is at the heart of all of our activities. The full Equality, diversity and inclusion statement can be found on the website https://www.bmh.manchester.ac.uk/study/research/apply/equality-diversity-inclusion/.
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