Publisher
source

Randika Vithanage

5 months ago

PhD in Augmented Reality-Driven Robotic Inspection for Aerospace Manufacturing University of Strathclyde in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Fully funded UKRI-approved doctoral studentship for 3.5 years. Includes a tax-free maintenance stipend of £1,817 per month, full UK/home tuition fees, standard UKRI research training support costs, consumables and development activities, plus industrial co-funding and in-kind support from Boeing and the National Manufacturing Institute Scotland. Also includes a fully funded 3-month placement at the Boeing Aerospace Innovation Centre.

Deadline

Expired

Country flag

Country

United Kingdom

University

University Of Strathclyde

Suggested positions

Publisher
source

University of Southampton

Country flag

United Kingdom

PhD opportunity at the University of Southampton in Intelligent Maritime Situational Awareness and Risk Assessment for Autonomous Shipping . This postgraduate research project focuses on autonomous shipping, maritime situational awareness, AIS trajectories, video analysis, vessel behaviour modelling, trajectory prediction, and uncertainty-aware risk assessment. The research aims to help autonomous ships understand complex maritime traffic, identify hazardous encounters, and support safer navigat...

Computer Science
Mechanical Engineering
Electrical Engineering
+5 more

6 days ago

Publisher
source

University of Bath

Country flag

United Kingdom

PhD opportunity at the University of Bath in Multimodal Spatial Intelligence and Traffic World Models . This project sits at the intersection of computer vision , multimodal AI , spatial reasoning , and traffic-environment modeling. The research aims to develop methods that better understand and represent complex traffic scenes using multiple data modalities and intelligent spatial inference. The opportunity is shared from the research group supervised by Nic Zhang at the University of Bath. It ...

Computer Science
Electrical Engineering
Computer Vision
+3 more

1 week ago

Publisher
source

University of Southampton

Country flag

United Kingdom

PhD project at the University of Southampton on dynamic risk intelligence for safe autonomous shipping . The research focuses on how maritime autonomous surface ships can recognise when changing traffic, weather, visibility, communication, sensor performance, or system capability make continued autonomous operation unsafe. The project will investigate operational envelopes (OEs) and operational design domains (ODDs) as capability boundaries for autonomous ships and their functions. It will devel...

Computer Science
Mechanical Engineering
Electrical Engineering
+3 more

6 days ago

Publisher
source

University of Southampton

Country flag

United Kingdom

PhD project at the University of Southampton on safety validation and assurance of autonomous navigation systems , with a focus on maritime autonomy and autonomous ships. The research will develop Operational Design Domain (ODD) -based methods to assess whether autonomous navigation systems can operate safely within intended conditions. It will use historical maritime data, scenario-space modelling, and simulation to generate representative, critical, rare, boundary, and degraded scenarios. The ...

Computer Science
Mechanical Engineering
Electrical Engineering
+3 more

6 days ago

Publisher
source

University of Leeds

Country flag

United Kingdom

PhD in Railway Inspection and Maintenance at the University of Leeds . This PhD focuses on railway inspection, railway maintenance, structural health monitoring, remote sensing, computer vision, 3D scanning, augmented reality, UAV sensing, satellite sensing, predictive maintenance , and digital approaches for railway infrastructure monitoring. The project explores automated and non-disruptive methods for track inspection, defect detection, ballast degradation monitoring, settlement tracking, and...

Computer Science
Environmental Science
Mechanical Engineering
+7 more

2 months ago

Keywords

Computer Science
Mechanical Engineering
Electrical Engineering
Non-destructive Testing
Automotive Engineering
Computer Vision
Digital Manufacturing
Augmented Reality
Robotics

About this position

PhD opportunity at the University of Strathclyde in Augmented Reality-driven Robotic Inspection for Aerospace Manufacturing.

This fully funded doctoral project sits within the SEARCH (Sensor Enabled Automation, Robotics and Control Hub) and is delivered in collaboration with Boeing and the National Manufacturing Institute Scotland (NMIS). The research focuses on integrating augmented reality, computer vision, robotics, digital manufacturing, and non-destructive testing (NDT) to improve autonomous inspection of primary aerospace structures, including CFRP airframe components.

The project aims to reduce the manual burden of interpreting large volumes of ultrasonic inspection data by developing AR-enabled frameworks that spatially contextualise robotic NDT outputs directly onto aerospace structures. This is a strong fit for applicants interested in advanced robotics research with direct industrial impact, especially in aerospace inspection, automation, and intelligent manufacturing systems.

Funding is excellent: the studentship is fully funded at the UKRI-approved doctoral stipend rate, with a tax-free maintenance allowance of £1,817 per month, full UK/home tuition fees, and research support for consumables and development activities. The award also includes a 3-month placement at the Boeing Aerospace Innovation Centre, plus opportunities to travel and present at international conferences.

Eligibility: applicants should have a first-class or upper second-class UK honours degree (or overseas equivalent) in a relevant engineering, physical sciences, or technology-based discipline. A background in engineering, robotics, or computer science is preferred, along with a strong passion for cutting-edge robotics research.

How to apply: contact Dr Randika Vithanage by email with your CV and transcripts. The project page provides the full opportunity details and application guidance.

Deadline: 6 May 2026.

Funding details

Fully funded UKRI-approved doctoral studentship for 3.5 years. Includes a tax-free maintenance stipend of £1,817 per month, full UK/home tuition fees, standard UKRI research training support costs, consumables and development activities, plus industrial co-funding and in-kind support from Boeing and the National Manufacturing Institute Scotland. Also includes a fully funded 3-month placement at the Boeing Aerospace Innovation Centre.

What's required

Applicants should hold a first-class or upper second-class UK honours degree, or overseas equivalent, in a relevant engineering, physical sciences, or technology-based discipline from a recognised academic institution. A strong passion for advancing cutting-edge robotics research with direct impact in real industrial applications is required. Backgrounds in engineering, robotics, or computer science are especially suitable.

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts and confirm requirements with the university.

Professors

Lecturer

University Name
Country flag

United Kingdom

Research Interests

Automotive Engineering

Non-destructive Testing

Robotics

Computer Science

Computer Vision

Professor

University Name
Country flag

United Kingdom

Research Interests

Industrial Automation

Medical Imaging

Non-destructive Testing

Ultrasonic

Inspection Technology