To advance our research into human health and ageing, we are looking for PhD candidates with a computer science and machine learning background. We particularly welcome applications from those with knowledge of medical image analysis and/or data science. Ageing is usually quantified as a measurement of the time elapsed since birth (chronological age). However, this simple count cannot explain the large variations in the ageing trajectories that exist between older people of similar age. For these reasons, researchers have tried to identify alternative descriptions of ageing based on assessments that reflect the “biological age” of an individual. This involves complex changes occurring in body systems, affected by thousands of genes and their interactions with environments and lifestyles. The research planned within this PhD project will take a data science approach to understand how biological age can be measured and used to describe the ageing process. We will develop metrics to accurately predict biological age with the longer-term goal of making the validated assessments available across very large populations of people for promoting healthy ageing. This will have an important impact on our society by raising the quality of life of older people living in our communities.
Project aims and objectives
This is an exciting opportunity for computer scientists to apply their skillsets in applications of human health and ageing. We are seeking exceptional candidates with a strong background in computer science, particularly those with well-developed analytical skills. Applicants should hold a minimum of an honour’s degree at first or upper-second-class level in computer science or related fields.
The research will involve a range of computational assessments, including algorithm development, data analysis, and machine learning applications. Knowledge of the general principles of these areas is essential, and experience with practical implementations and research projects will be highly regarded.
We are looking for proactive, independent, and enthusiastic individuals with a critical mindset to play a pivotal role in this cutting-edge research project. The appointed person will be based in Manchester as part of our research team. The candidate will have access to our state-of-the-art facilities of the Institute of Sport and the new cutting-edge £117M Dalton Building, being part of our growing doctoral research community.
Please note that Home fees are covered. Eligible International students will need to make up the difference in tuition fee funding.
Interested applicants should contact Fabio Zambolin (f.zambolin@mmu.ac.uk) for an informal discussion.
To apply you will need to complete the online application form for a full-time PhD based in the Department of Sport and Exercise Sciences (or download the PGR application form).
You should also complete both the (PGR thesis proposal and narrative CV). The PGR proposal should briefly explain how you see the project developing to address the specific aims and objectives. It is also an opportunity for you to demonstrate how the skills you have map to the area of research and why you see this area as being of importance and interest.
If applying online, you will need to upload your statement in the supporting documents section or email the application form and statement to PGRAdmissions@mmu.ac.uk.
Closing date: Monday 13 January 2025
Expected start date: Monday 7 April 2025
Please quote the reference: SciEng-FZ-2025-AI_AGEX
UK, EU and International applicants
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