- Type of research degree
- Application deadline
- Ongoing deadline
- Country eligibility
- International (open to all nationalities, including the UK)
- Competition funded
- Dr Richard Mann
- School of Mathematics
- Research groups/institutes
Collective intelligence can be seen all around us, from insect colonies building a nest to the collective endeavours of scientists to understand the world. However, we also see many instances of collective failure, with increasingly polarised societies and examples of mass hysteria. Harnessing collective intelligence is vitally important in an increasingly connected world where communications. How can we build intelligent systems and societies that bring together diverse expertise effectively, and avoid the problems of groupthink and polarisation? This project will investigate how individuals, with differing types and levels of expertise can combine their knowledge most effectively when faced with uncertainty about the world, and what incentives can be used to motivate optimal collective behaviour. This interdisciplinary project will combine ideas from mathematical modelling, statistics and machine learning/AI.
<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="https://www.leeds.ac.uk/info/130206/applying/91/applying_for_research_degrees">University's website</a>. Please state clearly in the research information section that the research degree you wish to be considered for is ‘Optimising collective intelligence’ as well as <a href="https://physicalsciences.leeds.ac.uk/staff/57/dr-richard-mann">Dr Richard Mann</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@example.com">firstname.lastname@example.org</a>, or telephone: +44 (0)113 343 5057.</p> <p>For further information regarding the project, please contact Dr Richard Mann by email: <a href="mailto:R.P.Mann@leeds.ac.uk">R.P.Mann@leeds.ac.uk</a></p>
<h3 class="heading heading--sm">Linked funding opportunities</h3>
<h3 class="heading heading--sm">Linked research areas</h3>