Meet over 65 universities on 27 & 28 April GET YOUR FREE TICKET >
Anglia Ruskin University ARU Featured PhD Programmes
Anglia Ruskin University ARU Featured PhD Programmes

Low-Power Artificial Intelligence for Practical Marine Robotics


Centre for Accountable, Responsible and Transparent AI

Bath United Kingdom Acoustics Engineering Artificial Intelligence Electrical Engineering Machine Learning Marine Engineering Mechanical Engineering Robotics

About the Project

Uncrewed submarines, underwater gliders, and surface vessels are the future of environmental monitoring and naval surveillance in the ocean. These autonomous robots will cooperate with and, in many cases, replace humans (reducing danger to life) to give us a wide-reaching and persistent view of our underwater environment. However, there is "an elephant in the room": artificial intelligence (AI) consumes power (potentially a lot of power!) and marine robots have a limited supply, e.g., from batteries or renewable sources such as solar. Therefore, there is a critical engineering need for low-power AI algorithms and hardware for this vision to become a practical reality.

This PhD will explore the trade-off between AI capability and reliability versus the realistic power limitations imposed on robots in the challenging real-world ocean environment. Furthermore, it will develop, test, and demonstrate low-power AI solutions on a real marine robot. The project is co-funded by the Seiche Water Technology Group and will be centred around their Autonaut wave-propelled, solar powered uncrewed surface vessel (USV) with its underwater acoustic and above-water electro-optic sensors. Relevant use cases include monitoring of marine mammals, oceanographic science, and naval surveillance for underwater intrusion into protected areas.

The project is supported under the UKRI Centre for Doctoral Training (CDT) in Accountable, Responsible, and Transparent AI (ART-AI) within a multi-disciplinary cohort from engineering, computer science, and social science. The primary focus will be on a feasible, reliable, and safe engineering application of AI. To this end, it will be contributing to machine learning innovations in computer science and engineering. However, it will also be guided by marine law, policy, and ethics from the social sciences, with important research questions relating to trade-offs in the "power budget" for: technical capability and performance; transparency and understandability for effective human cooperation, trust, and accountability; and governance to ensure safe and responsible operation.

Applicants should hold, or expect to receive, a first or upper second class honours degree in a relevant subject. A master’s level qualification and the ability to gain UK Security Check clearance or meet the Baseline Personnel Security Standard would be advantageous (for which there are nationality rules). Desirable qualities in candidates include intellectual curiosity, a strong background in maths and programming experience.

Informal enquiries about the project should be directed to Dr Alan Hunter: .

Formal applications should be made via the University of Bath’s online application form and be accompanied by a research proposal. Enquiries about the application process should be sent to .

Start date: 4 October 2021.


Funding Notes

Funding will cover tuition fees and maintenance at the UKRI doctoral stipend rate (£15,609 per annum in 2021/22, increased annually in line with the GDP deflator) for up to 4 years.
We also welcome applications from candidates who can source their own funding.

Email Now

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 Bath 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

Your enquiry has been emailed successfully



Search Suggestions

Search Suggestions

Based on your current searches we recommend the following search filters.



FindAPhD. Copyright 2005-2021
All rights reserved.