Understanding urban crime with computational models. EMPS College Home fees Studentship, PhD in Computer Science. Ref: 4327
About the award
Dr. Marcos Oliveira, College of Engineering, Mathematics and Physical Sciences, Streatham Campus, University of Exeter
Dr. Diogo Pacheco, College of Engineering, Mathematics and Physical Sciences, Streatham Campus, University of Exeter
Department of Computer Science, Streatham Campus, Devon, University of Exeter
The University of Exeter’s College of Engineering, Mathematics and Physical Sciences is inviting applications for a fully-funded PhD studentship to commence in January 2022 or as soon as possible thereafter. The studentship will cover Home tuition fees plus an annual tax-free stipend of at least £15,609 for 3.5 years full-time, or pro rata for part-time study.
This College studentship is open to UK and Irish nationals, who if successful in their application will receive a full studentship including payment of university tuition fees at the home fees rate.
Crime is a severe threat to society's well-being, affecting people's lives and the economy of cities. Though crime is linked to different socio-economic factors, it exhibits remarkable regularities regardless of cities' particularities. This project aims to uncover such regularities and understand how they can help predict crime, design safer cities, and understand the urbanisation process.
This project looks at cities as evolving systems that exhibit global order built from local-level decisions; precisely, it recognises cities as complex adaptive systems. Because of that, this project involves building computational models that reproduce collective phenomena, which will uncover general underlying processes of criminal activity. More broadly speaking, this project will use approaches based on machine learning, information theory, agent-based modelling, mean-field theory, among others.
This studentship is open to UK and Irish nationals, who if successful in their application will receive a full studentship including payment of university tution fees at the home fees rate.
Applicants should have, or expect to achieve, at least a 2:1 honours degree (or equivalent international qualifications) in Computer Science, Physics, Mathematics, Statistics, Economics, or a related subject, or the equivalent qualifications gained outside the UK. A relevant Master's degree and/or experience in computational or mathematical modelling would be an advantage.
If English is not your first language you will need to have achieved at least 6.0 in IELTS and no less than 6.0 in any section by the start of the project.
Alternative tests may be acceptable (see http://www.exeter.ac.uk/postgraduate/apply/english/).
How to apply
In the application process you will be asked to upload several documents. Please note our preferred format is PDF, each file named with your surname and the name of the document, eg. “Smith – CV.pdf”, “Smith – Cover Letter.pdf”, “Smith – Transcript.pdf”.
• Letter of application (outlining your academic interests, prior project work experience and reasons for
wishing to undertake the project).
• Transcript(s) giving full details of subjects studied and grades/marks obtained (this should be an
interim transcript if you are still studying)
• Two references from referees familiar with your academic work. If your referees prefer, they can email
the reference direct to firstname.lastname@example.org quoting the studentship reference number.
• If you are not a national of a majority English-speaking country you will need to submit evidence of your proficiency in English. Please see the entry requirements information above.
The closing date for applications is midnight on 10 January 2022. Interviews will be held online on the week commencing 24 January 2022.
If you have any general enquiries about the application process please email email@example.com.
Project-specific queries should be directed to the main supervisor at firstname.lastname@example.org
|Application deadline:||10th January 2022|
|Value:||Home tuition fees plus an annual tax-free stipend of at least £15,609 for 3.5 years full-time, or pro rata for part-time study.|
|Duration of award:||per year|
|Contact: PGR Admissions Officeemail@example.com|