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Modelling the social determinants of health, at the neighbourhood and individual level

PGR-P-774

Key facts

Type of research degree
PhD
Application deadline
Friday 29 May 2020
Project start date
Thursday 1 October 2020
Country eligibility
UK and EU
Funding
Funded
Source of funding
Research council
Supervisors
Dr Nik Lomax
Additional supervisors
Professor Alison Heppenstall
Schools
School of Geography
<h2 class="heading hide-accessible">Summary</h2>

The conditions in which we are born and live are the key drivers of health and health inequalities. We know that tackling these social determinants of health requires actions across many policy sectors, such as housing, education or employment. This PhD project gets to the heart of these relationships by (i) undertaking applied spatial analysis and data analytics to a wide range of datasets to identify the distributions and differences at the neighbourhood (provide by Ward) level and (ii) using micro-modelling approaches (e.g. microsimulation) to simulate impacts of various interventions on the individual person/household level. You will bring sound quantitative experience to the project with a background in a numerate discipline (including but certainly not limited to public health, geography, mathematics or computer science) and further develop strong micro-modelling and data analytics abilities during the course of the project. The successful candidate will be part of a large and multidisciplinary team focused on driving policy reform and tackling health inequalities. The SIPHER consortium (https://sipher.ac.uk/) is a new centre for systems science in public health &ndash; will provide evidence to support cost-effective action across different policy sectors, including economic growth, education and housing at different scales of government. The consortium was launched as part of a &pound;25 million funding programme from the UK Prevention Research Partnership (UKPRP) into understanding and influencing the social economic and environmental factors that affect our health. Key areas of focus for the consortium are: Inclusive economic growth. Policies that promote a more equitable distribution of economic benefits and opportunities across places and communities. Adverse childhood experiences. Policies that seek to prevent difficult childhoods and the harmful life trajectories that are often associated with them. Housing. Policies that promote the availability, affordability, quality and suitability of housing. Mental health. Policies that promote and maintain good mental health and wellbeing in general population. You will work closely with the supervision team at Leeds as well as researchers at the University of Sheffield the Scottish Government, Greater Manchester Combined Authority and Sheffield City Council. You will have the opportunity to contribute to the wider work of the consortium and be involved in training and outreach activities. Good communication skills are essential!

<h2 class="heading hide-accessible">Full description</h2>

<p>The conditions in which we are born and live are the key&nbsp;drivers of health and health inequalities. We know that tackling these social determinants of health requires actions across many policy sectors, such as housing, education or employment. This PhD project gets to the heart of these relationships by (i) undertaking applied spatial analysis and data analytics to a wide range of datasets to identify the distributions and differences at the neighbourhood (provide by Ward) level and (ii) using micro-modelling approaches (e.g. microsimulation) to simulate impacts of various interventions on the individual person/household level. You will bring sound quantitative experience to the project with a background in a numerate discipline (including but certainly not limited to public health, geography, mathematics or computer science) and further develop strong micro-modelling and data analytics abilities during the course of the project.</p> <p>The successful candidate will be part of a large and multidisciplinary team focused on driving policy reform and tackling health inequalities. The SIPHER consortium (<a href="https://sipher.ac.uk/">https://sipher.ac.uk/</a>) is a new centre for systems science in public health &ndash; will provide evidence to support cost-effective action across different policy sectors, including economic growth, education and housing at different scales of government. The consortium was launched as part of a &pound;25 million funding programme from the UK Prevention Research Partnership (UKPRP) into understanding and influencing the social economic and environmental factors that affect our health. Key areas of focus for the consortium are:</p> <p><strong>Inclusive economic growth. </strong>Policies that promote a more equitable distribution of economic benefits and opportunities across places and communities.</p> <p><strong>Adverse childhood experiences. </strong>Policies that seek to prevent difficult childhoods and the harmful life trajectories that are often associated with them.</p> <p><strong>Housing. </strong>Policies that promote the availability, affordability, quality and suitability of housing.</p> <p><strong>Mental health. </strong>Policies that promote and maintain good mental health and wellbeing in general population.</p> <p>You will work closely with the supervision team at Leeds as well as researchers at the University of Sheffield the Scottish Government, Greater Manchester Combined Authority and Sheffield City Council. You will have the opportunity to contribute to the wider work of the consortium and be involved in training and outreach activities. Good communication skills are</p> <p>essential!</p> <p>&nbsp;</p>

<h2 class="heading">How to apply</h2>

<p>Formal applications for research degree study should be made online through the&nbsp;<a href="http://www.leeds.ac.uk/rsa/prospective_students/apply/I_want_to_apply.html">University&#39;s website</a>. Please state clearly in the research information section&nbsp;that the research degree you wish to be considered for is <strong>&lsquo;Modelling the social determinants of health, at the neighbourhood and individual level&rsquo;</strong> as well as <strong>Dr Nik Lomas</strong> as your proposed supervisor.</p> <p>If English is not your first language, you must provide evidence that you meet the University&#39;s minimum English language requirements (below).</p> <p><em>We welcome applications from all suitably-qualified candidates, but UK black and minority ethnic (BME) researchers are currently under-represented in our Postgraduate Research community, and we would therefore particularly encourage applications from UK BME candidates. All scholarships will be awarded on the basis of merit.</em></p>

<h2 class="heading heading--sm">Entry requirements</h2>

(Project to start preferably 1 July 2020, but negotiable depending on circumstances, but no later than 1 October 2020) Applicants to research degree programmes should normally have at least a first class or an upper second class British Bachelors Honours degree (or equivalent) in an appropriate discipline. The criteria for entry for some research degrees may be higher, for example, several faculties, also require a Masters degree. Applicants are advised to check with the relevant School prior to making an application. Applicants who are uncertain about the requirements for a particular research degree are advised to contact the School or Graduate School prior to making an application.

<h2 class="heading heading--sm">English language requirements</h2>

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.

<h2 class="heading">Funding on offer</h2>

<p>3 years fully funded project covering fees and an annual stipend of &pound;15,009* (*202021). Candidate will need to meet Research council residency requirements for a full maintenance grant.</p>

<h2 class="heading">Contact details</h2>

<p>For further information please contact the Graduate School Office<br /> e:&nbsp;<a href="mailto:ENV-PGR@leeds.ac.uk">ENV-PGR@leeds.ac.uk</a></p>