PhD Research Fellow in Machine Learning for Cognitive Neuroscience at the University of Oslo

PhD Research Fellow in Machine Learning and Applied Cognitive Neuroscience at the University of Oslo. You will develop machine learning models and frameworks for time-series analysis to understand how the human brain encodes information, working with rich neural datasets from rodents and humans. The project focuses on designing new learning frameworks and neural network architectures (including transformer models) to analyze local field potentials and action potentials, and to study how the brain forms perception and memories using data from image and movie viewing. This is a cross-disciplinary collaboration between the Digital Signal Processing and Image Analysis group (DSB) at the Department of Informatics and the Group for Cognitive Neurophysiology at the Medical Faculty, with international research links (e.g., UC San Diego). The fellowship is for 3 years, with possible extension up to 4 years with teaching and related duties, and should start no later than October 1, 2026.