Up to 30% off — ends 2 Aug
ONLY00h00m00s
Up to 30% off — ends 2 Aug
ONLY00h00m00s
University of Manchester
Closing soon
4 days ago
Fully Funded PhD in Robotics and AI for Net Zero (RAINZ CDT) University of Manchester in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableDeadline
Jul 31, 2026
Country
United Kingdom
University
University of Manchester

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.
Apply for this position
Keywords
Suggested positions
About this position
🚨 A fully funded PhD opportunity in Robotics and AI for Net Zero is open through the RAINZ CDT, with Cohort 2 starting in September 2026.
This doctoral training programme is designed for students interested in robotics, artificial intelligence, autonomous systems, computer vision, control, and AI for Net Zero. It brings together researchers from the University of Manchester, University of Glasgow, and University of Oxford.
The post is aimed at final-year undergraduate and Master's students from STEM disciplines, including those transitioning from related STEM backgrounds into robotics and AI. Applicants should hold or be on track to achieve a First-Class or Upper Second-Class degree, have at least 65% GPA, and have some programming experience.
Funding is described as fully funded. For eligible Home students, the programme offers the TechExpert stipend enhancement, adding £10,000 per year on top of the standard UKRI stipend.
The deadline is 31 July 2026, 5:00 PM UK time. Interested applicants should visit the official RAINZ CDT website to review available projects, training information, eligibility criteria, and the application process.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
More information can be found here
Ask ApplyKite AI

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.