PhD in Nuclear Fuel Performance Modelling and Machine Learning Uppsala University in Sweden

Postdoctoral Fellow opportunity at The University of Texas at Austin in the Walker Department of Mechanical Engineering, Cockrell School of Engineering. This postdoctoral position supports research on the development and maintenance of a digital twin for the University of Texas at Austin Nuclear Engineering Teaching Lab (NETL) TRIGA reactor. The work is tied to the Texas Nuclear Digital Twin Program and involves collaboration with Dr. Kevin Clarno and other faculty in the Nuclear and Radiation E...

Forschungszentrum Jülich GmbH is advertising several PhD positions at the Peter Grünberg Institute – Neuromorphic Compute Nodes (PGI-14) in Aachen, Germany . The projects sit at the intersection of brain-inspired computing , neuromorphic hardware , hardware-software co-design , and machine learning . Applicants can indicate interest in one of three research directions: associative memory based computing (including Dense Associative Memories, Modern Hopfield Networks, CAM designs, and experimenta...

PhD opportunity at Technische Universität Braunschweig in a research group led by Prof. Henning Wessels . The project sits at the intersection of physics-informed machine learning , computational mechanics , uncertainty quantification , multiscale modeling , generative AI , and inverse design . This is a strong fit for candidates interested in scientific machine learning and mechanics-driven modeling. The post explicitly invites applicants who are passionate about these topics and want to contri...

Libera Università di Bolzano is advertising a postdoctoral researcher position in the GeDiRL project, starting in January 2027. The project focuses on advanced finite element modelling for crack initiation and propagation during metal powder compaction, with the goal of linking measurable press signals to internal defect formation for inline crack-risk prediction and prevention in industrial production. Research topics include computational fracture mechanics, nonlinear finite element modelling,...

Chalmers University of Technology is advertising a doctoral student position in Explainable Machine Learning for Nuclear Safeguards within the Reactor Physics, Modelling and Safety group at the Department of Physics and Astronomy in Gothenburg, Sweden. The project sits at the intersection of computer science , physics , mathematics , machine learning , deep learning , explainable AI (XAI) , reactor physics , and nuclear safeguards . The research focuses on developing an XAI framework for spent n...