• University of Manchester Featured PhD Programmes
  • University of Birmingham Featured PhD Programmes
  • University of Warwick Featured PhD Programmes
  • University of Macau Featured PhD Programmes
  • FindA University Ltd Featured PhD Programmes
  • University of Stirling Featured PhD Programmes
  • Queen’s University Belfast Featured PhD Programmes
  • Northumbria University Featured PhD Programmes
University of Bristol Featured PhD Programmes
Coventry University Featured PhD Programmes
Anglia Ruskin University Featured PhD Programmes
University of Kent Featured PhD Programmes
University of Reading Featured PhD Programmes

Agent-Based Modelling of Smart Cities - developing important new methods that can be used for large-scale urban simulations in real time

  • Full or part time
  • Application Deadline
    Monday, July 30, 2018
  • Funded PhD Project (European/UK Students Only)
    Funded PhD Project (European/UK Students Only)

Project Description

This PhD project will be part of an exciting new initiative entitled “Data Assimilation for Agent-Based Models (DUST)” (https://dust.leeds.ac.uk/). The project will develop important new methods that can be used to integrate data that emerge from smart cities (e.g. traffic counters, social media activity, environment sensors, etc.) into large-scale urban simulations in real time. This is an important methodological challenge that has yet to be overcome. Without these, it is very difficult to understand how to manage cities in the short-term, or how to respond in situations that require dramatic interventions such as an evacuation. The successful applicant will join a team of PhD students and researchers at the Leeds Institute for Data Analytics who are working together to improve the ways that scientists can model cities.

More specifically, the successful candidate for this project will develop a large-scale model of urban flows - i.e.. a model of the movement of people as they travel around a city. In particular, the project will explore the potential uses of such a model in areas such as urban management (can models help us to better understand how spaces are being used?) and evacuation planning (by better understanding urban flows in normal circumstances, can we develop better plans for emergencies that require city-centre evacuation?). An important aspect of the work will be the consideration of how ‘big data’, that are generated in abundance in smart cities, can be used to improve the realism of simulations. Here, methods from data science and urban analytics will be invaluable. Models such as the one produced by this PhD project could be extremely valuable because they will help scientists and policy makers to better understand the daily pulse of a city, and to then find ways to make cities better by (for example) reducing pollution in the places where most people are exposed, or better understanding where crime rates are significantly higher than elsewhere.

How to apply http://www.geog.leeds.ac.uk/study/phd/how-to-apply/

Funding Notes

Start date: 1 October 2018

The studentship covers UK/EU tuition fees and a tax-free maintenance stipend of ~£14,777* pa for 4 years.
*The maintenance level will be reviewed annually in line with the UK Research Council rates View Website

Applications are welcome from UK/EU applicants who have, or expect to receive by July 2018, a UK 2i/1st class BA/BSc honours degree (or equivalent) in a relevant discipline. A Masters degree would be advantageous but is not required.

Email Now

Insert previous message below for editing? 
You haven’t included a message. Providing a specific message means universities will take your enquiry more seriously and helps them provide the information you need.
Why not add a message here
* required field
Send a copy to me for my own records.

Your enquiry has been emailed successfully

Cookie Policy    X