Dynamic microsimulation for health

One full PhD scholarship is available in the School of Geography in 2024/25. This scholarship is open to UK applicants and covers fees plus maintenance and a research support fund.<br /> <br /> We are looking for a talented and motivated individual to join a large and dynamic multidisciplinary project called Policy Modelling for Health.  <br /> <br /> This fully funded PhD place provides an exciting opportunity to pursue postgraduate research in population health modelling, estimating health outcomes and health inequalities which arise from economic policies. You will have the opportunity to work with a multidisciplinary team of geographers, public health experts and policy partners to develop computational models and translate findings in to actionable insights into ways to improve population health. <br /> <br /> The award is open to full-time or part-time candidates (UK only). 

<p><strong>Policy Modelling for Health</strong> is a thematic pillar of the £35 million <a href="https://www.ukri.org/news/35-million-investment-to-improve-population-wide-health/">Population Health Improvement UK (PHI-UK) network</a>, funded by UK Research and Innovation (UKRI), bringing together expertise and insight from across research, public health and community organisations. Its aim is to find innovative and inclusive ways to improve the health of people, places and communities and reduce health inequalities through the development and evaluation of long-lasting and environmentally sustainable interventions. <strong>Policy Modelling for Health</strong> comprises experts from six universities, local and national government, agencies, charities and citizen's groups who will develop computer models to show how tax, welfare, pensions and inheritance policies might affect health inequality outcomes to help policymakers understand their impacts on people in their area. It will incorporate wide-ranging insights into these models to make sure they answer the most pressing questions, inform real world decisions, and are relevant and inclusive across different groups in society. By doing so we will address the economic determinants of health and health inequalities through supporting the development and implementation of high-impact, established and innovative population-level policies using complex systems approaches to policy modelling. <strong>Policy Modelling for Health</strong> leverages insights and methods developed as part of prior major investments, including the <a href="https://www.gla.ac.uk/research/az/sipher/">Systems Science in Public Health and Health Economics Research</a> (SIPHER) consortium.  </p> <p>The PhD will focus on the development of pathway models which capture the health outcomes and health inequalities which arise from economic policies, which will be utilised within an existing <a href="https://github.com/Leeds-MRG/Minos">dynamic microsimulation framework</a>. These pathways are complex, linking policy interventions with outcomes, for example employment can result in improved health outcomes and reduced inequalities through several mechanisms that are not only representative of changes in income but represent wider social and economic opportunities. To build these models you will make use of longitudinal data, such as the <a href="https://www.understandingsociety.ac.uk/">UK Household Longitudinal Survey</a>, to build probability models for individuals, who are evolved over time. The result is a model capable of <a href="https://microsimulation.pub/articles/00239">producing projections under different scenarios</a>. You will work closely with the wider consortium, collaborating with academics and policy partners to develop and model relevant pathways. You will also have the opportunity to collaborate on producing systematic reviews, which will provide evidence for the integration of causal pathways within the models. </p> <p>You will be highly numerate, with a strong background in undertaking statistical analysis and writing efficient and well documented code (preferably R and Python). You will ideally have experience of data analytics in a health context. Experience of software development would be an advantage for keeping the model code and documentation up to date. You will have good communication skills, with the ability to work with a large team of academic and professionals and a strong interest in producing quantitative evidence for informing health policy.</p>

<p>Formal applications for research degree study should be made online through the <a href="https://www.leeds.ac.uk/research-applying/doc/applying-research-degrees">University's website</a> to the School of Geography. Please state clearly in the research information section that the research degree you wish to be considered for is <em>Dynamic microsimulation for health</em> as well as <a href="https://environment.leeds.ac.uk/geography/staff/1064/professor-nik-lomax">Prof Nik Lomax</a> as your proposed supervisor.</p> <p>If English is not your first language, you must provide evidence that you meet the University's minimum English language requirements (below).</p> <p><em>As an international research-intensive university, we welcome students from all walks of life and from across the world. We foster an inclusive environment where all can flourish and prosper, and we are proud of our strong commitment to student education. Across all Faculties we are dedicated to diversifying our community and we welcome the unique contributions that individuals can bring, and particularly encourage applications from, but not limited to Black, Asian, people who belong to a minority ethnic community, people who identify as LGBT+ and people with disabilities. Applicants will always be selected based on merit and ability.</em></p>

Applicants should normally have at least a first class or an upper second class British Bachelors Honours degree (or equivalent) in an appropriate discipline. A lower undergraduate degree can be supplemented by a relevant Master's degree. Applicants who are uncertain about the entry requirements are advised to contact Postgraduate Research Admissions prior to making an application.

The minimum English language entry requirement for research postgraduate research study is an IELTS of 6.0 overall with at least 5.5 in each component (reading, writing, listening and speaking) or equivalent. The test must be dated within two years of the start date of the course in order to be valid. Some schools and faculties have a higher requirement.

<p><strong>Information about the Award</strong></p> <p>We are offering 1 full-time PHD scholarship in the School of Geography for one UK candidate, matching the UKRI maintenance stipend (currently £19,237 in 2024/25) and UK tuition fees for three and a half years, subject to satisfactory progress.</p> <p><strong>Duration of the Award </strong></p> <p>Full-time (3.5 years). The award will be made for one year in the first instance and renewable for a further period of up to 2.5 years, subject to satisfactory academic progress. </p> <p><strong>Other Conditions </strong></p> <p>Applicants must not have already been awarded or be currently studying for a doctoral degree. </p> <p>Awards must be taken up by 1st March 2025. </p> <p>Applicants must live within a reasonable distance of the University of Leeds whilst in receipt of this scholarship.</p>

<p>For further information on how to apply, please contact Postgraduate Research Admissions at <a href="mailto:env-pgr@leeds.ac.uk?subject=Dynamic%20microsimulation%20for%20health">env-pgr@leeds.ac.uk</a>.</p>