Long COVID: identification of persons at risk and for treatment stratification via artificial intelligence methodology

The candidate will apply AI methodology to data on patients with and without long COVID for better identification and treatment stratification.

Start date

1 October 2022


3.5 years

Application deadline

Funding source

EPSRC Doctoral Training Partnership

Funding information

Enhanced EPSRC stipend (£19,062 per annum for 2022-23, with annual increments based on inflation) and fees covered. Funding also includes a research training and support grant of £3,000 for the duration of the studentship.


Long-term effects of coronavirus (long COVID) have become the burden of many people across the globe, affecting their everyday life and work performance. It is unclear why some people develop the symptoms and others who were infected by COVID-19 do not. In collaboration with the Royal Surrey County Hospital, the candidate will analyse extensive data on participants with persisting symptoms likely related to COVID-19, as well as a cohort of individuals with post-COVID data with no evidence of long COVID, confirmed by chest X-rays. The candidate will apply AI methodology on the data to identify the most influential predictors of long COVID and to cluster individuals according to their symptoms for better identification of future cases and intervention strategies in those already affected by the condition. The project also aims to develop an identification and stratification tool for health care professionals to be used in clinics.

The University of Surrey and our collaborative partners provide a vibrant, interdisciplinary research environment, with access to state-of-the-art facilities. We see our postgraduate researchers as an integral part of our research community, collaborating and innovating together with academics at all levels. We want the most talented researchers from diverse backgrounds to join us, bringing new ideas and perspectives. We will help you make the most of your potential, removing barriers where we can and supporting you with dedicated career guidance. We offer generous funding packages, sector-leading researcher development training and mentoring, and dedicated employability support.

Whatever your aspirations, Surrey is where research careers are launched and nurtured.

Eligibility criteria

All applicants should have (or expect to obtain) a first-class degree in a numerate discipline (statistics, mathematics, epidemiology or engineering) or MSc with Distinction (or 70% average) and a strong interest in pursuing research in this field. Additional experience which is relevant to the area of research is also advantageous.

English language requirements

IELTS academic: 6.5 or above (or equivalent) with 6 in each individual category.


How to apply

Applications should be submitted via the Vision, Speech and Signal Processing programme page on the "Apply" tab (select October 2022 start date). Please clearly state the studentship title and supervisor on your application. Once you have completed and submitted your application, please send an email to the primary supervisors confirming you have applied.

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Application deadline

Contact details

Marika Kaakinen
E-mail: m.kaakinen@surrey.ac.uk

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