PhD Position in Electrical Engineering on Reliability of Electric Motors KTH Royal Institute of Technology in Sweden

KTH Royal Institute of Technology is recruiting a doctoral student in Electrical Engineering focused on electrical motor reliability within the TERMINATOR project, funded by FFI. The project studies how fast-switching silicon carbide (SiC) and gallium nitride (GaN) power electronics influence long-term motor reliability. A central question is how fast voltage transitions (high dv/dt of 20–50 kV/µs) create electro-thermal stresses that accelerate stator insulation dielectric aging and bearing dam...

Postdoctoral Researcher in Computer Science at Örebro University , Sweden. This fixed-term, full-time two-year postdoctoral appointment is located at the School of Science and Technology and is centred on machine learning and signal processing for proprioceptive sensing . The project focuses on an industrially relevant sensing challenge: using vibration signals from mining machines to estimate rock fragmentation underground, where conventional cameras and sensors are limited. The research aims t...

Chalmers University of Technology is offering a two-year postdoctoral position in core monitoring/reactor physics within the Reactor Physics, Modelling and Safety group at the Department of Physics and Astronomy in Gothenburg, Sweden. The project focuses on neutron noise diagnostics for nuclear reactors, combining physics-based modeling with artificial intelligence to detect anomalies in reactor cores. The research aims to develop and validate computational methods for water-cooled Small Modular...

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...

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...