Uppsala University
3 days ago
PhD in Nuclear Fuel Performance Modelling and Machine Learning Uppsala University in Sweden
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableDeadline
Sep 30, 2026
Country
Sweden
University
Uppsala University

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About this position
Uppsala University is advertising a PhD position in Nuclear Fuel Performance Modelling and Machine Learning within the Division of Applied Nuclear Physics and the ANItA competence centre. The project combines nuclear engineering, applied physics, machine learning, statistical modelling, scientific computing, and physics-based simulations to develop fast and reliable methods for nuclear fuel-performance analysis.
The research aims to build surrogate models and calibration/uncertainty-quantification methods for simulations relevant to current nuclear reactors and future systems, including SMRs. The position is carried out in a strong research environment at Uppsala University in close collaboration with Westinghouse Electric Company and Vattenfall.
Location: Uppsala, Sweden.
Ideal background: engineering physics or nuclear engineering; applied physics, mathematics, or computational science; machine learning, statistics, or scientific computing; numerical modelling and simulation. Strong programming skills and interest in real engineering applications are emphasized. Prior nuclear engineering experience is helpful but not required.
Deadline: 30 September 2026.
Start date: 1 January 2027 or as agreed.
Interested candidates should apply through the university’s application portal linked in the post.
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
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