Publisher
source

University of Exeter

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 flag

Country

United Kingdom

University

University of Exeter

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Keywords

Computer Science
Mechanical Engineering
Artificial Intelligence
Manufacturing Engineering
Digital Twin Technology
Environmental Sustainability
Technical Engineering

About this position

We are recruiting a PhD student! Fully funded, UK tuition fees covered, exciting research ahead.

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

Please feel free to share this opportunity with your network or tag someone who might be interested.

PhDposition FundedPhD ResearchOpportunity PhDOpening

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).

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