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Kamran Pedram

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PhD in Adaptive Human–AI Collaboration and Digital Twin-Enabled Decision-Making University of Greenwich in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Home candidates receive a full tuition fee waiver at the Home-student rate. International candidates receive a 50% tuition fee waiver at the International-student rate. No stipend or additional funding is stated.

Deadline

Nov 30, 2026

Country flag

Country

United Kingdom

University

University of Greenwich

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Keywords

Computer Science
Mechanical Engineering
Artificial Intelligence
Digital Twin Technology
Technical Engineering
Robotics

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About this position

The University of Greenwich is offering a PhD opportunity on Adaptive Human–AI Collaboration for Decision-Making under Uncertainty and Risk: A Digital Twin-Enabled Engineering Framework.

The research will explore how humans and artificial intelligence can collaborate adaptively when decisions involve uncertainty and risk. A central element of the project is the application of digital twin technology to develop an engineering framework for modelling, analysing and supporting decision-making in complex environments.

The project is suitable for researchers interested in adaptive human–AI collaboration, artificial intelligence, digital twins, risk-aware decision-making and engineering systems. The PhD will be supervised by Kamran Pedram, Senior Lecturer at the University of Greenwich, within the Faculty of Engineering and Science.

The opportunity provides a route into cutting-edge research at the intersection of AI, human-centred engineering and digital twin applications.

Funding details

Home candidates receive a full tuition fee waiver at the Home-student rate. International candidates receive a 50% tuition fee waiver at the International-student rate. No stipend or additional funding is stated.

How to apply

Review the PhD project listing on FindAPhD.com and submit an application through the linked opportunity. For an informal discussion, contact Kamran Pedram at [email protected].

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Professors

Senior Lecturer

University Name
Country flag

United Kingdom

Research Interests

Artificial Intelligence

Computer Science

Technical Engineering

Digital Twin Technology

Mechanical Engineering