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# Postdoctoral Researcher - Computational Electron Microscopy and Machine Learning

- **Company:** Aachen Gmbh & Co. Kg
- **Location:** Alsdorf, Germany
- **Salary:** €156,000.0
- **Contract:** Temporary contract
- **Skills:** Python (Programming Language), Machine Learning, Pytorch, Deep Learning
- **Published:** September 2, 2026
- **Apply:** https://www.jobs.de/job/postdoctoral-researcher-computational-electron-microscopy-and-machine-learning-inklusiver-job-1855215

## About the Role

We are looking for a highly motivated colleague who is excited about new scientific endeavors with interdisciplinary approaches. For this you have:
\n
\n

 * Completed Master's degree and PhD in Physics, Materials Science or a closely related field\n
 * In-depth working knowledge of electron microscopy, including image formation and contrast mechanisms, electron diffraction, and substantial experience in at least one of the following: 4D-STEM, in-situ or operando microscopy, or quantitative HR(S)TEM.\n
 * Experience with electron microscopy simulations (e.g. multislice or Bloch-wave methods), or with developing quantitative data analysis pipelines for microscopy data, which would be a strong asset.\n
 * Practical, hands-on experience in training deep learning models, solid programming skills in Python, and working proficiency with PyTorch or an equivalent framework.\n
 * A clear interest in developing methods rather than merely applying them, as well as the motivation to substantially deepen your machine learning expertise within the group.\n
 * Excellent communication skills across disciplinary boundaries; much of the value of this role lies in enabling two research communities to understand one another.\n
 * Strong analytical skills, creativity\n
 * Very good command of written and spoken English with extensive vocabulary is required (at least B2 level according to the CEFR), ideally supported by a certificate confirming the language level\n

## Description

This position sits at the interface between electron microscopy and machine learning. We are looking for a microscopist or physicist with substantial computational practice who wants to shape how machine learning is developed for electron microscopy - someone who can identify the open questions in the domain and carry them through to new methods. You will work in a team of data scientists and software developers, together with the doctoral researchers of the group, and in close collaboration with the Ernst Ruska-Centre (ER-C). Your tasks will include


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