Machine Learning approaches to Acoustic Condition Monitoring for Wastewater and Stormwater Treatment Ref: 5147

Project Description:

Condition monitoring is the process of monitoring the health and performance of machinery and equipment in real-time or periodically to identify any deviations from normal operating conditions. The goal is to detect early signs of potential issues or failures so that maintenance can be scheduled proactively, minimizing downtime and reducing the risk of costly repairs. AI and Machine Learning can significantly enhance condition monitoring by enabling more advanced analysis of data collected from various sensors and sources. AI can be used for anomaly detection, fault diagnosis and predictive maintenance of systems, reducing cost of monitoring equipment and avoiding downtime. In this project we will develop AI-based condition monitoring for wastewater and stormwater process equipment in sustainable urban drainage, using a combination of acoustic and other sensors and Smart technology for data acquisition. As well as co-funding the studentship, Hydro International will provide site access to equipment and help with developing monitoring systems for the data acquisition.

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 £19,237 per year tax-free stipend. 

The studentship will be awarded on the basis of merit for 3.5 years of full-time study to commence on 23 September 2024. The collaboration involves a project partner who is providing funding [and other material support to the project], this means there are special terms that apply to the project, these will be discussed with Candidates at Interview and fully set out in the offer letter.

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.

Entry requirements

Applicants for this studentship must have obtained, or be about to obtain, a First or Upper Second Class UK Honours degree, or the equivalent qualifications gained outside the UK, in an appropriate area of science or technology. 

If English is not your first language you will need to meet the required level as per our guidance at https://www.exeter.ac.uk/pg-research/apply/english/

For Further Information and how to apply – Award details nearmejobs.eu Funding and scholarships for students nearmejobs.eu University of Exeter

The closing date for applications is midnight on 17th June 2024. Interviews will be held virtually / in the week commencing 24th June.