Back to search results

Monitoring of landslide hazards with wireless sensor networks and machine learning, Geography and Computer Science - PhD (Funded)

University of Exeter - Faculty of Environment, Science and Economy

Qualification Type: PhD
Location: Exeter
Funding for: UK Students, EU Students, International Students
Funding amount: £17,668 - The studentship will cover Home tuition fees plus an annual tax-free stipend of at least £17,668 for 3.5 years full-time, or pro rata for part-time study
Hours: Full Time
Placed On: 12th December 2022
Closes: 20th January 2023
Reference: 4655

Landslides are a major hazard along coasts and in mountain regions in the UK and globally, causing disruption, fatalities and severe economic loss. Landslides can also propagate downslope in the form of debris flows and even interact with floods to cause a cascade of hazards. Landslides and related hazard cascades are increasing under climate change and increasing population pressure (Froude and Petley, 2018). This makes monitoring and early warning of slope instability and landslides increasingly vital to mitigate their impacts.

A range of smart sensors are being developed that can track debris movement through the landslide hazard cascade as part of a Wireless Sensor Network (WSN) (Dini et al., 2021). In the same way that smart watches can characterise different movements we make based on algorithms developed using machine learning, similar techniques can be used characterise different sensor movements and develop warnings of hazardous slope movement. This is a major objective of the SENSUM project: Smart SENSing of landscapes Undergoing hazardous hydrogeomorphic Movement, on which this PhD project will build.

The overarching aim of this PhD is to help develop effective real time monitoring of a range of landslide hazards in coastal and mountainous environments of the UK and France. It will utilise existing data collected by sensors for a range of sites, including Lyme Regis and Isle of White in the UK and Harmalière landslide in France. Drone and video camera footage will be collected to validate sensor movements. Machine learning methods will be used to characterise boulder movements and train sensors to detect hazardous movement using the collected sensing data and drone images, thereby working towards developing effective early warning of hazards.

The student will join a vibrant geomorphology community at the University of Exeter, joining Dr Bennett’s research group as well as the wider CCoRD research group. The student will gain valuable skills in sensor technology through Dr Kyle Roskilly and industry sponsor Copernicus Technologies and machine learning through Dr Luo.

The student will receive adequate training in various sensor technologies used in the project. The student will be encouraged to attend relevant training workshops and opportunities as they arise and will be able to attend at least one international conference and a number of national conferences over the course of the project.

This award provides annual funding to cover Home tuition fees and a tax-free stipend. For students who pay Home tuition fees the award will cover the tuition fees in full, plus at least £17,668 per year tax-free stipend. Students who pay international tuition fees are eligible to apply, but should note that the award will only provide payment for part of the international tuition fee and no stipend.

The studentship will be awarded on the basis of merit for 3.5 years of full-time study to commence on 1st March 2023.

International applicants need to be aware that you will have to cover the cost of your student visa, healthcare surcharge and other costs of moving to the UK to do a PhD.

The conditions for eligibility of home fees status are complex and you will need to seek advice if you have moved to or from the UK (or Republic of Ireland) within the past 3 years or have applied for settled status under the EU Settlement Scheme.

We value your feedback on the quality of our adverts. If you have a comment to make about the overall quality of this advert, or its categorisation then please send us your feedback
Advert information

Type / Role:

Subject Area(s):

Location(s):

PhD tools
 

PhD Alert Created

Job Alert Created

Your PhD alert has been successfully created for this search.

Your job alert has been successfully created for this search.

Ok Ok

PhD Alert Created

Job Alert Created

Your PhD alert has been successfully created for this search.

Your job alert has been successfully created for this search.

Manage your job alerts Manage your job alerts

Account Verification Missing

In order to create multiple job alerts, you must first verify your email address to complete your account creation

Request verification email Request verification email

jobs.ac.uk Account Required

In order to create multiple alerts, you must create a jobs.ac.uk jobseeker account

Create Account Create Account

Alert Creation Failed

Unfortunately, your account is currently blocked. Please login to unblock your account.

Email Address Blocked

We received a delivery failure message when attempting to send you an email and therefore your email address has been blocked. You will not receive job alerts until your email address is unblocked. To do so, please choose from one of the two options below.

Max Alerts Reached

A maximum of 5 Job Alerts can be created against your account. Please remove an existing alert in order to create this new Job Alert

Manage your job alerts Manage your job alerts

Creation Failed

Unfortunately, your alert was not created at this time. Please try again.

Ok Ok

Create PhD Alert

Create Job Alert

When you create this PhD alert we will email you a selection of PhDs matching your criteria.When you create this job alert we will email you a selection of jobs matching your criteria. Our Terms and Conditions and Privacy Policy apply to this service. Any personal data you provide in setting up this alert is processed in accordance with our Privacy Notice

Create PhD Alert

Create Job Alert

When you create this PhD alert we will email you a selection of PhDs matching your criteria.When you create this job alert we will email you a selection of jobs matching your criteria. Our Terms and Conditions and Privacy Policy apply to this service. Any personal data you provide in setting up this alert is processed in accordance with our Privacy Notice

 
 
 
More PhDs from University of Exeter

Show all PhDs for this organisation …

More PhDs like this
Join in and follow us

Browser Upgrade Recommended

jobs.ac.uk has been optimised for the latest browsers.

For the best user experience, we recommend viewing jobs.ac.uk on one of the following:

Google Chrome Firefox Microsoft Edge