NERC RED-ALERT CDT: Autonomous Real-Time Mapping of Water Quality in Rivers using Dipping Sensors from Aerial Drones via FindAPhD

University of Bath

Bath, UK 🇬🇧

About the Project

This project is one of a number that are in competition for funding from the Red-ALERT CDT for entry in September 2025.

Overview of the Research:

Our long-term vision is to employ autonomous drones to map critical physio-chemical parameters within river catchments.

We aim to leverage multi-rotor aerial drone technology capable of dipping sensing probes into the water, allowing for precise, multi-point measurements in high-risk areas. When pollution is detected, real-time machine learning feedback will guide subsequent measurements in nearby locations, optimising both spatial and temporal sampling.

This project is centred on robotics and artificial intelligence (AI), focusing on the development of a robust AI system for field deployment and experimentation by utilising commercially available off-the-shelf technologies, such as multi-rotor drones and sensors.

Project Keywords: Sensing, Water Quality, Drones, Artificial Intelligence

Industrial Partner:

Wessex Water are the industrial partner on this project.

Candidate Requirements:

Applicants should hold, or expect to receive, a First Class or good Upper Second-Class UK Honours degree (or the equivalent) in Mechanical or Electrical Engineering, or a relevant subject. A master’s level qualification would also be advantageous.

*Non-UK applicants must meet the programme’s English language requirement prior to a formal offer being made. 

Equality, Diversity, and Inclusion:

We value a diverse research environment and aim to be an inclusive university, where difference is celebrated and respected. We welcome and encourage applications from under-represented groups.

If you have circumstances that you feel we should be aware of that have affected your educational attainment, then please feel free to tell us about it in your application form. The best way to do this is a short paragraph at the end of your personal statement.

Enquiries and Applications:

Formal applications should be submitted via the Red-ALERT CDT online application form prior to the closing date of this advert.


Funding Notes

Candidates may be considered for a NERC Red-ALERT studentship tenable for 3.5 years. Funding covers tuition fees, a stipend (ÂŁ19,237 p/a in 2024/5) and access to a training support budget.  


POSITION TYPE

ORGANIZATION TYPE

EXPERIENCE-LEVEL

DEGREE REQUIRED

You ad could be here!