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University of Birmingham

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PhD Studentship: Integrated Intelligent Safe Environment (IISE) in the Nuclear Industry University of Birmingham in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Available

Deadline

Nov 15, 2026

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Country

United Kingdom

University

University of Birmingham

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Keywords

Computer Science
Environmental Science
Mechanical Engineering
Electrical Engineering
Digital Twin Technology
Human-robot Interaction
Sensor Fusion
Collaborative Robotics
Path Planning
Collision Dynamics
Robotics
Autonomous System
Physics

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About this position

[Full tuition fees plus a stipend to cover living costs; open to UK fee payers and international students.]

PhD studentship at the University of Birmingham in an Integrated Intelligent Safe Environment (IISE) for the nuclear industry.

This project addresses a major challenge in nuclear operations: enabling robots, autonomous systems, and human operators to work together safely within the same safety envelope. The research aims to develop technologies, methodologies, and assurance frameworks that support human-robot coexistence, collaboration, and regulatory compliance in complex and dynamic nuclear environments.

The advertised research focus is a digital twin enabled approach to human-robot and sensor collaboration. The successful candidate will work on creating and managing a detailed digital twin that mirrors a real nuclear environment and provides real-time insight into atmospheric conditions, temperature, robot and human position/orientation, collision risks, and sensor health. The digital twin should support route analysis, traffic pattern prediction, rehearsal of tasks before human entry, and live RAG-style status updates for sensors and maintenance needs.

The studentship is especially relevant to candidates with interests in robotics, AI, autonomous systems, digital twins, sensing, safety assurance, and human-robot interaction in hazardous or regulated settings. The position is open to both UK fee payers and international students, and the funding covers full tuition fees plus a stipend for living costs.

Applicants are expected to hold a first degree at 1st class level or equivalent in Robotics and AI or a closely related subject. An MSc in robotics or a related area is highly desirable. To apply, email Dr Steve Davis at [email protected] with a CV and a brief statement describing how the project fits your background and experience. The deadline is 15 November 2026.

Funding details

Available

What's required

Applicants should have a first degree classified at 1st class or equivalent in Robotics and AI or a closely related subject. An MSc in robotics or a related area is highly desirable. Applicants should include a CV and a brief statement (half page maximum) explaining how the position relates to their background and experience.

How to apply

Email Dr Steve Davis at [email protected]. Include a CV and a brief statement (maximum half a page) explaining how your background and experience relate to the project.

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