You will join our team using artificial intelligence and mathematical modelling to examine the development of multimorbidity over the lifecourse as part of the MELD-B (Multidisciplinary Ecosystem to study Lifecourse Determinants and Prevention of Early-onset Burdensome Multimorbidity) research project. The post will be in the Applied Mathematics & Theoretical Physics group, which is part of the School of Mathematical Sciences at the University of Southampton.
MELD-B is an interdisciplinary project bringing together researchers in public health, statistical epidemiology, mathematical sciences and information systems to study the burden presented to patients by conditions such as heart disease, diabetes, asthma, depression and anxiety, along with their pattern of acquisition over patient lifetimes, in order to understand in greater detail how people develop complex and burdensome combinations of conditions and identify opportunities for effective intervention.
Your role will be to develop machine learning models for early-onset burdensome multi-morbidity, combining information from birth cohort and routine healthcare datasets to identify its early-life determinants. You will use a variety of methods to analyse the data, from off-the-shelf clustering algorithms and explainable AI, to developing semi-supervised learning approaches for matching across datasets, and exploring topological data analysis and graph-based learning.
To be successful you will have a PhD or equivalent professional qualifications and experience in machine learning, topological data analysis, computational mathematical modelling or a closely related subject. In addition to machine learning research, an important part of the role is to interact with other MELD-B team members from a variety of different disciplinary backgrounds and to become familiar with multimorbidity research. Thus an interest and motivation in learning about multimorbidity research outside of your disciplinary expertise and the ability to communicate effectively across disciplinary boundaries are essential.
The School of Mathematical Sciences is committed to promoting equality, diversity and inclusion, and holds an Athena SWAN Bronze award. We welcome applicants from all sections of the community, regardless of gender, ethnicity, disability or sexual orientation, and will give due consideration to applicants seeking flexible working patterns and to those who have taken a career break. The University has a generous maternity policy and onsite childcare facilities and offers a range of benefits designed to help maintain and support employees' well-being and work-life balance. The University of Southampton is committed to sustainability and being a globally responsible university and has been awarded the Platinum EcoAward.
Application Procedure
You should submit your completed online application form at https://jobs.soton.ac.uk. The application deadline will be midnight on the closing date stated above. Please include a covering letter, full CV and details of at least two referees in your application.
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