Doctoral student in Explainable Machine Learning for Neuromorphic Computing Örebro University in Sweden

Örebro University and the WASP-WISE programme are offering a PhD position in Explainable Machine Learning for Neuromorphic Computing in Sweden. The project focuses on explainable AI and neuromorphic/brain-inspired computing applied to predictive materials discovery , with the goal of accelerating the discovery of new magnetic materials for more energy-efficient computing. This doctoral project sits at the intersection of machine learning , computer vision , digital image processing , neuromorphi...

Chalmers University of Technology is hiring a Postdoc Researcher in Physics-Informed Learning and System Identification for Battery Systems . The opportunity is associated with Professor Changfu Zou at Chalmers University of Technology. The research focus combines physics-informed learning , system identification , and battery systems , making it relevant for candidates with interests in computational modeling, data-driven methods, and energy-related engineering research. This is a postdoctoral ...

🇩🇰 The University of Copenhagen is advertising a PhD fellowship in Mathematical Image Analysis for Sustainable Materials within the RAPTOR project , a collaboration with Lund University and DTU . The project focuses on combining learned visual representations with mathematically grounded structural descriptors to quantitatively characterise sustainable materials. This is a strong fit for applicants interested in computer science , machine learning , computer vision , applied mathematics , and ma...

KTH Royal Institute of Technology is advertising a fully funded PhD position in Sustainable Satellite Networks within the School of Electrical Engineering and Computer Science, Department of Communication Systems, in Stockholm, Sweden. The project is centered on Space-Air-Ground Integrated Networks (SAGIN) , with a focus on dual-tier space-ground integrated networks, satellite mesh networks, low-latency communications, and the development of architectural concepts and AI frameworks for reliable ...

Postdoctoral researcher opening in the University of Virginia Department of Computer Science with Ferdinando Fioretto, Associate Professor and Copenhaver Fellow. The project focuses on physics-constrained foundation models for energy grids , with research directions including diffusion models , flow matching , graph neural networks , and discrete generative models . The goal is to generate diverse and explainable configurations while respecting operational and physical constraints. Strongly rele...