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  Computer vision and deep learning for underwater vehicle navigation and control

   Department of Computer Science

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  Prof B Li  No more applications being accepted  Funded PhD Project (Students Worldwide)

About the Project

Application details:

Reference number: 2018CDTEI_Li_2
Start date of studentship: 1st July 2018
Closing date of advert: 1st March 2018


Primary supervisor: Dr Baihua LI, Dr Emanuele Rocco

We are seeking excellent candidates with interests in computer vision, robotics and AI who want to study at a top 10 UK research-led University ( whilst working with industrial partners. You will join the EPSRC Centre for Doctoral Training in Embedded Intelligence ( and be part of a growing research group within the Department of Computer Science ( You will work alongside academics who are leaders in their field and benefit from a four-year studentship award that includes an enhanced EPSRC tax-free annual stipend and UK/EU tuition fees. Furthermore, you will have access to a personal training budget of £10,000, which is in addition to a research budget and support from academic members of staff and industrial partners.

Loughborough University aims to ensure equality for men and women. We follow the principles of the Athena SWAN Charter by wishing to attract, support, and reward women in STEMM at all career stages.

Full Project Detail:

In the next years, accessible portable robots will enable customized applications such as underwater commercial applications, scientific research, environmental protection, and search and rescue. This project will develop state-of-the-art algorithms and software solutions to build embedded intelligence for curiosity driven robots to enhance the usability of underwater vehicles towards automation. In particular, the latest advances in computer vision and deep learning will be explored significantly to build underwater robot vision and control for various tasks, e.g. path finding, navigation, target exploration, object recognition and tracking. The studentship is co-sponsored by a high-tech company, Witted Srl, and you will spend time at the company to conduct experiments in controlled and real-world environments. You will gain knowledge about the challenges in underwater robotics for practical applications and learn about control intelligence for underwater autonomous vehicles.

Find out more:

Entry requirements:

Applicants should have, or expect to achieve, at least a 2:1 Honours degree (or equivalent) in related Computer Science, Engineering or Mathematics degree with strong programming skills (e.g. C++, Python, Matlab) and knowledge of artificial intelligence and computer vision. A relevant Master’s degree and/or experience in computer vision, machine learning and deep learning is desirable, as is a passion in robotics, navigation and control.

Applicants must meet the minimum English Language requirements, details available on the website -

Contact details:

Name: Dr Baihua Li
Email address: [Email Address Removed]
Telephone number: 01509 222 672
Enquiries about the application process and CDT programme can be made to [Email Address Removed]. For answers to frequently asked questions about the CDT, visit the website -

How to apply:

All applications should be made online at Under programme name, select “CDT Embedded Intelligence Wolfson School” and quote reference CDTEI_Li_2

Funding Notes

The studentship is for four years and provides a tax-free stipend of £17,553 per annum for the duration, plus tuition fees at the UK/EU rate. To qualify for a full award, applicants must meet the EPSRC eligibility criteria ( including the minimum UK residency requirement.

Where will I study?