Henrik Sjöstrand

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.