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PhD Studentship - Data-Based Automation of Underwater Vehicle Operations

UCL - Mechanical Engineering

Qualification Type: PhD
Location: London
Funding for: UK Students, EU Students
Funding amount: £17,323.16 per annum
Hours: Full Time
Placed On: 17th October 2019
Closes: 1st December 2019
Reference: 1835348

Duration of Studentship: 3 years

Vacancy Information

A 3-year PhD studentship is available at UCL Department of Mechanical Engineering for an enthusiastic student interested in development of Autonomous underwater vehicles (AUVs)

Studentship Description

Autonomous underwater vehicles (AUVs) have become a fundamental tool for the exploration and study of the oceans. Recent advances in AUV technology have resulted in smaller, cheaper vehicles, with much longer deployment duration and depth rating. However, the level of autonomy associated with most AUVs is still quite limited, with human pilots required to prepare missions, configure vehicle flight and monitor mission execution. At present, the number of vehicles which can be deployed simultaneously is limited by the availability of highly-skilled pilots, especially during the intensive launch and recovery phases of a vehicle deployment. To help address this scalability issue, the National Oceanography Centre (NOC) is developing a common server-based command and control infrastructure to enable the piloting of multiple vehicle types from a single web-based tool.  As part of this work, NOC is developing an automated piloting framework and application programming interfaces (APIs), which allow algorithms to safely control vehicles within the NOC fleet.

This collaborative project between UCL and NOC seeks to develop an innovative approach to automating the operations of underwater vehicles using artificial intelligence.

Person Specification

Final year degree students and graduates of naval architecture, mechanical engineering, mechatronics and computer science disciplines are particularly encouraged to apply. A first or upper-second class UK Bachelor’s degree or an overseas qualification of an equivalent standard from a recognised higher education institution, or a recognised taught or research Master’s degree. Relevant work experience may also be taken into consideration.


Please refer to the following website for eligibility criteria:

Application Process:

In the first instance you are encouraged to contact Dr Enrico Anderlini: providing a copy of your CV.

Contact name: Dr. Enrico Anderlini

Contact details:

UCL Taking Action for Equality

Interview date: TBC

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