Integration of Advanced Multi-Modal Sensors into ROV Platforms for Autonomous Marine Pollution Monitoring

About the Project

The proposed PhD will focus on the design, integration, and validation of advanced sensor technologies into Remotely Operated Vehicles (ROVs) for autonomous marine pollution monitoring. Building on recent innovations in microfluidic sampling, optical sensors, and electrochemical detection, the candidate will develop a modular sensor integration framework capable of operating in diverse aquatic environments. The research will involve both hardware and software development:

• Designing compact, robust sensor housings and interfaces compatible with small-to-medium class ROVs.
• Developing onboard signal processing and edge-AI algorithms to fuse multi-modal data (chemical, optical, and biological indicators).
• Conducting laboratory-scale experiments and controlled field trials to validate pollutant detection (e.g., heavy metals, nutrients, PFAS, harmful algal blooms).
• Demonstrating the system in real-world coastal and offshore environments, with a focus on interoperability, energy efficiency, and scalability.

The PhD outcomes are expected to provide not only a validated ROV–sensor integration architecture but also guidelines for modular adaptation to evolving regulatory and scientific needs.

Academic qualifications

First degree with at least a 2:1 classification in one of the following areas: Robotics, Mechatronics, Electrical/Electronic Engineering, Computer Science, Ocean Engineering, or a related discipline

English language requirement

IELTS score must be at least 6.5 (with not less than 6.0 in each of the four components). Other, equivalent qualifications will be accepted.

Essential attributes:

• Embedded systems, electronics design, and programming (C/C++, Python, or ROS)

Desirable attributes:

• Experience with sensor technologies (optical, chemical, or electrochemical) and/or robotics integration is highly desirable

APPLICATION CHECKLIST

• Completed application form
• CV
• 2 academic references, using the Postgraduate Educational Reference Form (download)
• Research project outline of 2 pages (list of references excluded). The outline may provide details about
  1. Background and motivation of the project. The motivation, explaining the importance of the project, should be supported also by relevant literature. You can also discuss the applications you expect for the project results.
  2. Research questions or objectives.
  3. Methodology: types of data to be used, approach to data collection, and data analysis methods.
  4. List of references.
• Statement no longer than 1 page describing your motivations and fit with the project.
• Evidence of proficiency in English (if appropriate)

To be considered, the application must use the advertised title as project title

For informal enquiries about this PhD project, please contact A.Kerrouche@napier.ac.uk

PhD Start Date: October 2026