PhD Studentship: Adaptive Mobile Robot Automation for Quality-aware Large Volume Inspection and Data Fusion

This project is an exciting opportunity to undertake industrially linked research in partnership with the Manufacturing Technology Centre (MTC). It will be based within the Intelligent Automation Centre (IAC) of the Wolfson School of Mechanical, Electrical and Manufacturing Engineering, Loughborough University which amongst its wider research interests is renowned for cutting edge research in applied metrology and robotics.

Vision
This project addresses the challenge of rapidly and autonomously generating high-precision 3D reconstructions of large-scale complex assets. Uniquely, it integrates quality assessment and scanning strategy adjustment within a closed-loop system, enabling truly autonomous, self-optimising inspection. This work will develop a next-generation mobile robotic system capable of real-time adaptive 3D inspection, dynamically adjusting its measurement strategy based on data quality as well as environmental and scene cues.

Positioned at the intersection of robotics, computer vision, and AI-driven sensing, this PhD offers a rare opportunity to develop in-demand skills in advanced mobile robotics, intelligent automation, data fusion, artificial intelligence (AI), precision metrology, and data-intensive processing, with real-world applications across aerospace, energy, and infrastructure.

Aim
This project will pioneer the first-generation structured light projection robotic system that combines neural network based defect cause analysis with real-time adaptive scanning. It will significantly increase measurement efficiency, reduce labour costs, improve autonomous inspection accuracy, and enhance robustness in complex environments.

This PhD offers hands-on training in high-demand research and engineering skills, including: artificial intelligence, data fusion, robotics, metrology, software development, research and communication.

As a PhD student, you will work with both academics from the IAC Group at Loughborough University and with the engineering teams within the Manufacturing Technology Centre (MTC). This will give you real-world experience in working within in an industrial company, as well as experiencing the workplace and culture within it. There will be opportunities to discuss your work with the MTC’s industrial partners and present key findings at international conferences.

Entry requirements:
We are looking for an enthusiastic, self-motivated candidate with a 1st or high 2:1 degree in robotics, mechanical engineering, electrical and electronic engineering, computer science, or a related field. Candidates should have programming experience and a strong interest in artificial intelligence, robotic systems, and metrology. A passion for applying technological solutions to real-world infrastructure challenges is essential.

English language requirements:
Applicants must meet the minimum English language requirements.

Funding information:
This fully funded 3-year full-time studentship is available only to UK nationals. The successful applicant will receive a generous tax-free annual stipend of £25,000, full-time home tuition fees paid, and £2,000 per year for consumables and travel. Funding from MTC requires passing their security checks before starting the PhD.

Funding for this studentship is awarded on a competitive basis and is not guaranteed; availability will depend on the outcome of the selection process and subject to final approval by the University.

How to Apply:
All applications should be made online. Under programme name, select * Mechanical and Manufacturing Engineering’* Please quote the advertised reference number: * FP-CG-MTC/26* in your application.

Applications must include a personal statement, up-to-date curriculum vitae (CV), details of two referees (one from your highest degree qualification), certified certificates and transcripts for all completed degree programmes, and a reference to the project ‘FP-CG-MTC/26)’.

Shortlisted candidates will be contacted for an online interview, which are expected in February/March 2026.

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