Kamran Pedram
Just Landed
Posted Yesterday
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
United Kingdom
University
University of Greenwich
Apply for this position
Keywords
Suggested positions
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].
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.
Professors
Senior Lecturer
United Kingdom
Research Interests
Artificial Intelligence
Computer Science
Technical Engineering
Digital Twin Technology
Mechanical Engineering
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.