- Type of research degree
- Application deadline
- Ongoing deadline
- Country eligibility
- International (open to all nationalities, including the UK)
- Competition funded
- Dr Georgios Aivaliotis
- School of Mathematics
- Research groups/institutes
- Probability and Financial Mathematics, Statistics
Temporal pattern mining is an approach of representing complex and unstructured temporal data (for example health data, credit event data end more) through temporal patterns for inference using statistical analysis or machine learning methods. Survival time is in general defined as the time to a particular event. The application of survival methods to data recoded through temporal patterns poses challenging research questions as to how survival should be defined and classical statistical and machine learning methods should be adapted to accommodate temporal patterns.
<p>The earliest start date for this project is 1 October 2020.</p>
<p>Formal applications for research degree study should be made online through the <a href="http://www.leeds.ac.uk/rsa/prospective_students/apply/I_want_to_apply.html">University's websit</a><a href="https://www.leeds.ac.uk/info/130206/applying/91/applying_for_research_degrees">e</a>. Please state clearly in the research information section that the research degree you wish to be considered for is ‘Survival Analysis using temporal patterns’ as well as <a href="https://physicalhttps://physicalsciences.leeds.ac.uk/staff/1/dr-georgios-aivaliotis">Dr Georgios Aivaliotis</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>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>
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.
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>Self-Funding Students</strong></p> <p><strong>Funding Eligibility</strong></p> <p><strong>UK/EU</strong> – Leeds Doctoral Scholarship Award paying Academic Fees and Maintenance matching EPSRC rate of £15,009 per year for 3 years, School of Mathematics Scholarship award paying Academic Fees and Maintenance matching EPSRC rate of £15,009 per year for 3 years. Alumni Bursary is available to previous University of Leeds graduates offering 10% discount on Academic Fees.</p> <p><strong>International Students</strong> – China Scholarship Council-University of Leeds Scholarship Award paying Academic Fees for 3 years, School of Mathematics Scholarship award paying Academic Fees for 3 years, Commonwealth Scholarship and Commonwealth Split Site Scholarships. Alumni Bursary is available to previous University of Leeds graduates offering 10% discount on Academic Fees.</p>
<p>For further information regarding your application, please contact Doctoral College Admissions by email: <a href="mailto:EMAIL@leeds.ac.uk">m</a><a href="mailto:firstname.lastname@example.org">email@example.com</a>, or telephone: +44 (0)113 343 5057</p> <p>For further information regarding the project, please contact Dr Georgios Aivaliotis by email: <a href="mailto:G.Aivaliotis@leeds.ac.uk">G.Aivaliotis@leeds.ac.uk</a></p>
<h3 class="heading heading--sm">Linked funding opportunities</h3>
<h3 class="heading heading--sm">Linked research areas</h3>