University of Exeter
1 year ago
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AI-Enhanced Digital Twin for Sustainable Manufacturing University of Exeter in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Fully funded studentship covering UK tuition fees and a stipend. The funding is provided for the duration of the PhD. International students may need to cover the difference between UK and international tuition fees unless otherwise stated.
Deadline
Sep 20, 2026
Country
United Kingdom
University
University of Exeter
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About this position
Funding details
Fully funded studentship covering UK tuition fees and a stipend. The funding is provided for the duration of the PhD. International students may need to cover the difference between UK and international tuition fees unless otherwise stated.
What's required
Applicants should hold or expect to obtain a first or upper second class degree in engineering, computer science, or a related discipline. Strong interest or experience in artificial intelligence, digital twin technologies, and sustainable manufacturing is preferred. International applicants may need to meet English language requirements (such as IELTS or TOEFL).
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.
Join our research group at the University of Exeter, Streatham Campus, on the project "AI-Enhanced Digital Twin for Sustainable Manufacturing".
Supervisors: Natalia Hartono and Martino Luis
Apply and learn more here: https://lnkd.in/exhFig_u
Deadline: 20 September 2025
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# PhDposition # FundedPhD # ResearchOpportunity # PhDOpening