Linköping University
Linköping, Sweden
PhD Position in AI for Transmission Electron Microscopy Image
The Electron Microscopy of Materials (EMM) unit at Linköping University invites applications for a PhD position at the intersection of AI and advanced electron microscopy. The project focuses on developing novel self-supervised and physics-informed deep learning methods to restore and denoise Transmission Electron Microscopy (TEM) and HAADF-STEM images.
Microscopy data are often degraded by noise and scan distortions, and clean ground truth data are rarely available. This project aims to go beyond standard convolutional neural networks by exploring transformers, implicit neural representations (INRs), and hybrid architectures that integrate physical priors such as periodicity, symmetry, and long-range correlations. The goal is to achieve more robust, interpretable, and scientifically meaningful reconstructions of atomic-resolution microscopy data.
This position is part of a cross-disciplinary effort supported by the Wallenberg Initiative Materials Science for Sustainability (WISE) and the Wallenberg AI, Autonomous Systems and Software Program (WASP), providing a unique opportunity to work within a strong Swedish research network spanning materials science, AI, and computational imaging.
Submission is possible until: 17 October 2025
Anna Elsukova
Principal Research Engineer, Electron Microscopy of Materials, Linköping University
anna.e...@liu.se
Per Persson
Professor, Head of Unit, Electron Microscopy of Materials, Linköping University
per.p...@liu.se