PhD in Core Optimisation Using Machine Learning at Uppsala University Uppsala University in Sweden

Uppsala University is advertising a PhD student position in core optimisation using machine learning at the Department of Physics and Astronomy in Sweden. The project sits in the Division of Applied Nuclear Physics and focuses on reactor physics , nuclear engineering , machine learning , optimisation , and computational methods for core and fuel optimisation . The research is part of an ongoing PhD project on small modular reactors (SMRs) within the competence centre ANItA (Academic-industrial N...

PhD student opportunity at Uppsala University in nuclear fuel performance modelling using machine learning , statistical methods , and uncertainty quantification . The position is based at the Department of Physics and Astronomy , Division of Applied Nuclear Physics, and is part of a close collaboration between Uppsala University , Westinghouse , and Vattenfall through the competence centre ANItA . The project focuses on developing fast, robust, and reliable computational methods for current and...

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-quanti...

Postdoctoral opportunity in nuclear nonproliferation and reactor physics at Oak Ridge National Laboratory (ORNL), United States. The Nuclear Nonproliferation Division at ORNL is seeking a Postdoctoral Nuclear Engineer to conduct research and development in nuclear nonproliferation , reactor physics , modeling and simulation , and reactor analysis . The work includes steady-state and depletion core analysis, fuel cycle analysis, research reactor design and analysis, isotopic characterization of n...

Doctoral Student in Machine Learning for Quantum Error Correction at Chalmers University of Technology in Gothenburg, Sweden. This PhD project sits at the intersection of machine learning , quantum error correction , quantum computing , coding theory , and information theory . The goal is to develop learning-based decoders that are fast, scalable, and compatible with the strict latency and hardware constraints of practical quantum systems. The project is part of QuBriC , a European Marie Skłodow...