There is an emerging need for technologies that can rapidly map the location and concentration of pollutants within a range of environments, particularly in the aftermath of an environmental disaster. The advent of UAVs and similar autonomous agents provide a platform for sampling pollutants within the environment, but what is currently lacking is the autonomous behaviour that determines where best to place the agent at any given moment in time.
The ultimate aim of this research is to develop this autonomy using physical models that capture the dynamics of pollutant dispersal upon an underlying environmental flow of specific interest. These models, along with relevant external data-streams, can then be used to solve an optimisation problem to determine the ’best’ location for placing sensors. However, to achieve this in real-time will necessitate the use of relatively simple models, which sacrifice prediction accuracy for numerical efficiency. The uncertainty induced by simple models can be mitigated through the real-time incorporation of sensor measurements using sensor fusion techniques.
As such, this project is highly interdisciplinary, requiring modelling from fluid mechanics and techniques from the control systems community. A number of projects are available in this area and will be targeted upon the following specific applications:
1. Urban air pollution monitoring in the Sheffield City Region. 2. Maritime pollutant mapping in the aftermath of maritime incidents. 3. Real-time wild-fire mapping. 4. Fresh-water quality monitoring in the aftermath of waste discharge / run-off events.
This is a self-funded research project.
We require applicants to have either an undergraduate honours degree (minimum 2:1) or MSc (Merit or Distinction) in Applied Mathematics, Physics or Engineering from a reputable institution and have strong programming skills e.g.Matlab, C++, Python.
Full details of how to apply can be found at the following link: View Website
Applicants can apply for a Scholarship from the University of Sheffield but should note that competition for these Scholarships is highly competitive: View Website
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
The information you submit to University of Sheffield will only be used by them or their data partners to deal with your enquiry, according to their privacy notice. For more information on how we use and store your data, please read our privacy statement.
* required field
Send a copy to me for my own records.
Your enquiry has been emailed successfully
Based on your current searches we recommend the following search filters.