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University of Copenhagen
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Postdoc in Computational Microscopy University of Copenhagen in Denmark
Degree Level
Postdoc
Field of study
Computer Science
Funding
Funded by the Villum Foundation through the Villum Experiment programme; salary, pension, and other employment conditions follow the applicable collective agreement, and a salary supplement may be negotiated depending on qualifications.
Deadline
Nov 20, 2026
Country
Denmark
University
University of Copenhagen
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About this position
The Department of Computer Science (DIKU) at the University of Copenhagen is offering a two-year postdoctoral position in computational microscopy, hosted by the IMAGE section. The project sits within a research environment focused on machine learning, computer vision, and simulation, and is part of the Faculty of SCIENCE.
The research aims to develop computational methods for extracting three-dimensional information from microscopy images. The work combines computer vision with physics-based modelling and is described as primarily computational, with microscopy experiments used to generate data for method development and evaluation. This creates a strong interdisciplinary setting for a researcher interested in image analysis, inverse problems, and algorithmic modelling.
The project is a collaboration between Julius B. Kirkegaard, Bernhard Kerbl, and Ala Trusina. The position is based in Copenhagen in the IMAGE section of the Department of Computer Science, where the advertised environment is international and research-oriented.
The role is aimed at a highly motivated scientist who can work independently while collaborating across disciplines, and who is interested in learning basic microscopy as part of the project’s computational workflow.
Funding details
Funded by the Villum Foundation through the Villum Experiment programme; salary, pension, and other employment conditions follow the applicable collective agreement, and a salary supplement may be negotiated depending on qualifications.
What's required
Applicants must have a PhD or equivalent research qualifications in computer science, physics, or a closely related field. Essential requirements include strong programming skills, experience developing research software, a solid quantitative background in numerical methods, optimization, or scientific computing, the ability to conduct independent research and collaborate across disciplines, willingness to learn basic microscopy and collect experimental data, proficient communication skills, and excellent written and spoken English. Desirable experience includes 3D reconstruction or microscopy, computer vision, computer graphics, inverse problems, differentiable programming, and any form of experimental work.
How to apply
Apply online via the “Apply now” link and submit all attachments in English as PDF files. Include a motivated letter, CV, diplomas and transcripts, one publication/project/code repository, PhD thesis or abstract if available, names and email addresses of references, publication list, and reference letters if available.
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