Job offers
At this page microscopy related job opportunities are presented. The information shown remains the responsibility of the original author. So far these announcements are free of charge for jobs at Universities and other non-profit institutes throughout Europe as well as for ECMA members (the corporate members of EMS). EMS members working outside Europe can also for free post job positions at their respective research group. Others pay Euro 200 per announcement. Companies eligible for ECMA membership are requested to join the silver ECMA membership category (Euro 250).
The corresponding amount shall be transfered in favour of account: Our current account is:
Account holder: SAS MCO/EMS - VILLA GABY - 285 PROMENADE CORNICHE KENNEDY 13007 MARSEILLE FRANCE
IBAN: FR76 1460 7002 2600 2625 5950 955
BIC/SWIFT: CCBPFRPPMAR
A copy of your bank transfer statement shall also be sent by eMail or Fax to:
Prof. Dr. Philippe LECLERE
University of Mons (UMONS)
Laboratory for Physics of Nanomaterials & Energy - LPNE
Research Institute for Materials Science and Engineering
Place du Parc, 20, B - 7000 Mons, Belgium
Tel: +32(0)65 37 38 68
eMail: philippe.leclere@umons.ac.be
Job information suitable for this page (in English) may be sent to the EMS secretary.
>> Search
-
Linköping University
Linköping, Sweden
PhD Position in AI for Transmission Electron Microscopy Image
Announcement date: 22 September 2025Description
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
Requirements
- Master’s degree in Computer Science, Materials Science, Physics, Mathematics, or related fields
- Strong interest in AI for scientific imaging, self-supervised learning, and image restoration
- Experience in deep learning (CNNs, transformers, or INRs) and scientific programming
- Good analytical and communication skills, with the ability to work independently and collaboratively
- Experience with microscopy data or inverse problems is a merit
More information
Contact
Anna Elsukova
Principal Research Engineer, Electron Microscopy of Materials, Linköping University
anna.elsukova@liu.sePer Persson
Professor, Head of Unit, Electron Microscopy of Materials, Linköping University
per.persson@liu.se -
Linköping University
Linköping, Sweden
PhD Position in AI for Transmission Electron Microscopy Image
Announcement date: 22 September 2025Description
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
Requirements
- Master’s degree in Computer Science, Materials Science, Physics, Mathematics, or related fields
- Strong interest in AI for scientific imaging, self-supervised learning, and image restoration
- Experience in deep learning (CNNs, transformers, or INRs) and scientific programming
- Good analytical and communication skills, with the ability to work independently and collaboratively
- Experience with microscopy data or inverse problems is a merit
More information
Contact
Anna Elsukova
Principal Research Engineer, Electron Microscopy of Materials, Linköping University
anna.elsukova@liu.sePer Persson
Professor, Head of Unit, Electron Microscopy of Materials, Linköping University
per.persson@liu.se -
Trinity College Dublin, The University of Dublin - School of Biochemistry and Immunology
Dublin, Ireland
Experimental Officer (Microscopy and Imaging)
Announcement date: 18 September 2025Description
The Microscopy and Imaging Experimental Officer will manage high-end microscopy and histology systems, supporting research projects, and ensuring the facility remains at the forefront of imaging technologies. This role is part of Trinity Cell Analysis Technologies (www.tcd.ie/Biochemistry/research/facilities/) in the School of Biochemistry and Immunology which supports researchers across academia and industry. These facilities are available to, and used by, researchers both within the School, the wider TCD community and those external to the College, so are a vital part of the TCD research infrastructure.
Deadline of September 30th 2025
More information
Contact
Barry Moran barry.moran@tcd.ie and Prof Derek Nolan DENOLAN@tcd.ie