Applications accepted all year round. Self-Funded PhD Students Only.
About the Project
This PhD project will develop innovative statistical and computational methods for jointly analysing longitudinal microbiome data and time-to-event outcomes. The research will address important methodological challenges arising from the complex and high-dimensional nature of microbiome data, with a particular focus on improving dynamic prediction and clinically meaningful inference. The project will investigate new modelling frameworks and computational approaches, with potential extensions to related areas of survival analysis. Methodological developments will be evaluated through simulation studies and applied to real-world neonatal datasets. The project will also involve the development of reproducible software to support implementation and dissemination of the proposed methods.
Eligibility
Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s degree (or international equivalent) in Statistics, Data Science, or a relevant science or related discipline. Applicants should have a strong background in statistics, with an interest in statistical modelling and data analysis.
Funding
This 3.5 year PhD programme is for self-funded and externally funded students. The proposed start date is September 2027, the start date is negotiable.
Before you apply
We strongly recommend that you contact the supervisor for this project before you apply. Please include details of your current level of study, academic background and any relevant experience and include a paragraph about your motivation to study this PhD project.
How to apply
Apply online through our website: https://uom.link/pgr-apply-2425.
When applying, you’ll need to specify the full name of this project, the name of your supervisor, if you already having funding or if you wish to be considered for available funding through the university, details of your previous study, and names and contact details of two referees.
Your application will not be processed without all of the required documents submitted at the time of application, and we cannot accept responsibility for late or missed deadlines. Incomplete applications will not be considered.
After you have applied you will be asked to upload the following supporting documents:
- Final Transcript and certificates of all awarded university level qualifications
- Interim Transcript of any university level qualifications in progress
- CV
- Supporting statement: A one or two page statement outlining your motivation to pursue postgraduate research and why you want to undertake postgraduate research at Manchester, any relevant research or work experience, the key findings of your previous research experience, and techniques and skills you’ve developed. (This is mandatory for all applicants and the application will be put on hold without it).
- Contact details for two referees (please make sure that the contact email you provide is an official university/work email address as we may need to verify the reference)
- English Language certificate (if applicable)
If you have any questions about making an application, please contact our admissions team by emailing [contact details available in the full listing].
Equality, diversity and inclusion
Equality, diversity and inclusion is fundamental to the success of The University of Manchester, and is at the heart of all of our activities. We know that diversity strengthens our research community, leading to enhanced research creativity, productivity and quality, and societal and economic impact.
We actively encourage applicants from diverse career paths and backgrounds and from all sections of the community, regardless of age, disability, ethnicity, gender, gender expression, sexual orientation and transgender status.
We also support applications from those returning from a career break or other roles. We consider offering flexible study arrangements (including part-time: 50%, 60% or 80%, depending on the project/funder).
Funding Notes
This 3.5 year PhD programme is for self-funded and externally funded students. The proposed start date is September 2027, the start date is negotiable.
