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Data Analytics & Society CDT

PGR-F-131

Key facts

Deadline
Tuesday 14 April 2020
Funding start date
Thursday 1 October 2020
Number of funding places
4
Country eligibility
UK and EU
Source of funding
Centre for doctoral training
Additional staff
Eleri Pound datacdt@leeds.ac.uk
Schools
Institute for Transport Studies, School of Food Science and Nutrition, School of Geography, School of Law
<h2 class="heading hide-accessible">Summary</h2>

Data Analytics and Society is an ESRC funded Centre for Doctoral Training providing postgraduate research and training across 4 Universities: University of Leeds, University of Liverpool, University of Manchester, University of Sheffield. The CDT encourages significant advances which bring together social science with methods from computing, mathematics and the natural sciences. This is an exciting opportunity to undertake a 4-year funded integrated PhD and MSc in Data Analytics and Society. The programme takes a +4 structure, it includes an integrated MSc in Data Analytics over the first two years which will provide you with the foundation skills to complete your research project over the 4 years of the programme. The Centre is focused on Promoting the creation and analysis of new longitudinal and streamed data resources for socio-economic investigations. Creating new methods (e.g. scaling up existing methods for real time big data analytics), Investigating social processes (e.g. virtualisation of retailing; data-driven decision making and social behaviours) Facilitating interventions (e.g. resource targeting, network planning, social media apps for diet, travel, lifestyle planning).

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

<p>The University of Leeds projects are &ndash;&nbsp;see <a href="https://datacdt.org/projects/">full list of the CDT projects</a></p> <ul> <li> <h4><a href="https://datacdt.org/projects/autonomous-mobility/">Modelling the Diverse Implications of Autonomous Mobility at the City Scale</a></h4> </li> <li> <h4><a href="https://datacdt.org/projects/exploring-the-potential-of-natural-language-processing-techniques-in-criminal-justice-agencies-an-investigation-of-racial-disparities-in-release-decisions-from-the-parole-board/">Exploring the potential of Natural Language Processing techniques in criminal justice agencies: An investigation of racial disparities in release decisions from the Parole Board</a></h4> </li> </ul> <header> <header> <ul> <li> <h4><a href="https://datacdt.org/projects/using-data-analytics-to-understand-childrens-food-choice-behaviour/">Using data analytics to understand children&rsquo;s food choice behaviour</a></h4> </li> </ul> </header> </header> <h4>Funding:</h4> <p>A standard studentship consists of academic fees paid at standard Research Council rates, a doctoral stipend and a Research Training Support Grant. The National Doctoral Stipend for&nbsp; 2020-2021 is &pound;15,285.</p> <p>You are automatically eligible for a <strong>full award</strong> (stipend and fees), if:</p> <ul> <li>you have settled status in the UK, meaning there are no restrictions on how long you can stay.</li> <li>you have been &lsquo;ordinarily resident&rsquo; in the UK for three years prior to the start of the studentship grant. This means you must have been normally residing in the UK (apart from temporary or occasional absences).</li> <li>you have not have been residing in the UK wholly or mainly for the purpose of full-time education. This does not apply to UK and EU nationals.</li> </ul> <p>We also have up to 4 places to offer <strong>EU or International</strong> students who don&rsquo;t meet these criteria on a <strong>full award.&nbsp;</strong></p> <p>In addition,<strong> all European Union</strong> applicants are eligible for an award paying academic fees and RTSG only, except in cases where residency in the UK has been established for more than 3 years prior to the start of the programme of study.&nbsp;To be eligible for a <strong>fees only award</strong>, you must be ordinarily resident in an EU member state, in the same way as UK students must be ordinarily resident in the UK.</p>

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

<p>Formal applications for research degree study should be made for the&nbsp;&lsquo;Integrated PhD Data Analytics and Society&rsquo; researech degree programme online through the <a href="https://studentservices.leeds.ac.uk/pls/banprod/bwskalog_uol.P_DispLoginNon">online research degree admissions portal</a>. Please state clearly that the funding you wish to be considered for is&nbsp;Data Analytics &amp; Society CDT</p> <p><a href="https://datacdt.org/entry-criteria-applying/">Entry Criteria and application details</a></p> <p>Please note that all applications will come through the University of Leeds in the first instance, however the location of the PhD will be as stated in the project description.</p> <p>We do have funds available to help with accessibility and widening participation.</p> <ul> <li>For &lsquo;Application type&rsquo; select &lsquo;Research Degrees &ndash; Research Postgraduate&rsquo;</li> <li>For &lsquo;Planned Course of Study&rsquo; select &lsquo;Integrated PhD Data Analytics and Society&rsquo;</li> <li><strong>Enter the reference number and title of the <a href="http://datacdt.org/projects">project</a>&nbsp;or projects you wish to apply for in the section for research proposal</strong>. (you can apply for multiple projects using the same application form, please do not submit multiple applications)</li> <li>Include a statement of motivation<strong>.</strong>&nbsp;Identify your preferred project and explain why it interests you and how your current qualifications and skills map onto the requirements for your chosen project</li> <li>Include a CV and transcripts of your first degree as well as certificate for any English language qualifications.</li> <li>Please contact your referees and ask them to complete the recommendation form which can be <a href="https://datacdt.org/entry-criteria-applying/">downloaded here</a></li> </ul> <p>If English is not your first language, you must provide evidence that you meet the 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>

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 7.0 overall, 7 in writing with at least 6 in each component (reading, writing, listening and speaking) or equivalent. Or a TOEFL (Test of English as a Foreign Language) Internet based test &ndash; 100 overall, 25 writing, 22 other sections 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">Contact details</h2>

<p>For further information please contact the Consumer Data Research Centre<br /> e: <a href="mailto:dataCDT@leeds.ac.uk">dataCDT@leeds.ac.uk</a>&nbsp;</p>


<h2 class="heading heading--sm">Linked project opportunities</h2>