- Type of research degree
- Application deadline
- Friday 17 April 2020
- Project start date
- Thursday 1 October 2020
- Country eligibility
- UK and EU
- Competition funded
- Source of funding
- Research council
- Dr Ornella Iuorio and Dr He Wang
- School of Civil Engineering, School of Computing
Have you ever felt that a space is too crowded? Not only you, the designers, policy-makers and space managers constantly try to avoid it too. However, this is very difficult.
<p>The large population of the area leads to transportation systems often running over capacity, putting managers, operators and transport planners under pressure to ensure that overcrowding does not endanger the safety of passengers and that vital transport links do not break down due to crowd congestion. Understanding crowd interactions with the environment is not only a necessity for crowd management and design of public spaces (airports, stations, etc.) but also vital in planning events with many attendees such as the sports event. Poor management may lead to tragic results. Hence, how crowds react to such events directly should influence the design and management of spaces. Unfortunately, there is a lack of automation, preventing this promising technique to be used in real-life scenarios. </p> <p>The automation issue breaks the space life-cycle (Design-Construction-Daily Management). Previously, tools have been developed for crowd simulation and environment design mostly separately. Extensive manual work is required when attempting to use the tools together. The users need to fix one factor (environment design or crowd) and change the other, e.g. after developing an environment layout, manually run crowd simulations to verify the design. If any factors on either side change, the whole process needs to be started again. This prevents full explorations of possible scenarios and designs. The PhD project aims to build the first a platform based Artificial Intelligence which comes with a crowd behaviour predictor that predicts how crowds use the space in new environments and an algorithm which can improve space designs automatically.</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 website</a>. Please state clearly in the research information section that the research degree you wish to be considered for is “CIDER: Crowd-based Intelligent Design of EnviRonment” as well as <a href="https://eps.leeds.ac.uk/computing/staff/868/dr-he-wang">Dr He Wang</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.
<p><strong>UK/EU</strong> – Engineering & Physical Sciences Research Council Studentship for 3.5 years. A full standard studentship consists of academic fees (£4,600 in Session 2020/21), together with a maintenance grant (£15,009 in Session 2019/20) paid at standard Research Council rates. UK applicants will be eligible for a full award paying tuition fees and maintenance. European Union applicants will be eligible for an award paying tuition fees only, except in exceptional circumstances, or where residency has been established for more than 3 years prior to the start of the course. Funding is awarded on a competitive basis.</p>
<p>For further information regarding the application procedure, please contact Doctoral College Admissions,<br /> e: <a href="mailto:email@example.com">firstname.lastname@example.org</a>, t: +44 (0)113 343 5057.</p> <p>For further information regarding the project, please contact:<br /> Dr He Wang, e: <a href="mailto:email@example.com">firstname.lastname@example.org</a><br /> Dr Ornella Iuorio, e: <a href="mailto:email@example.com">firstname.lastname@example.org</a></p>
<h3 class="heading heading--sm">Linked funding opportunities</h3>
<h3 class="heading heading--sm">Linked research areas</h3>