Post-Doc Position: Bio-Image Analysis

Post-Doc Position: Bio-Image Analysis
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ETH Zurich is a world-leading university dedicated to advancing science, engineering, and technology. The position is embedded in the Computational Biology (CoBi) group headed by Prof. Iber, which leverages imaging data to develop data-driven, mechanistic models of biological processes. The team employs cutting-edge computational tools and imaging techniques to investigate complex biological systems, translating image-derived insights into mechanistic models that enhance our understanding of tissue dynamics, disease progression, and cellular behavior. The Department of Biosystems Science and Engineering (D-BSSE) of ETH Zurich is located in Basel, a European hotspot for biomedical research, in close proximity to the University of Basel, as well as the pharmaceutical and biotech industry.

Project background
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We seek a highly motivated postdoctoral researcher to develop and apply advanced image analysis techniques. The focus of this position is on integrating both classical image processing techniques and modern machine learning approaches to extract meaningful quantitative information from complex biological images. The successful candidate will contribute to projects involving diverse imaging modalities, including lightsheet microscopy, CT imaging, and ultrasound imaging. In addition, the candidate will actively collaborate with colleagues developing mechanistic models based on the extracted image data.

Job description
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Develop and apply state-of-the-art algorithms for image segmentation, feature extraction, and quantitative analysis
Combine classical image processing techniques (e.g., filter-based, morphological, and statistical methods) with machine learning approaches
Collaborate with interdisciplinary teams, ensuring seamless integration of image analysis with mechanistic modeling
Contribute to software development for reproducible and user-friendly image analysis workflows
Write and publish high-impact research articles in peer-reviewed journals
Present results at international conferences and within collaborative networks

Profile
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PhD in Computer Science, Bioinformatics, Biomedical Engineering, Applied Mathematics, or a related field
Proven expertise in image analysis (e.g., segmentation, denoising, feature extraction), including both classical techniques and AI-based approaches
Proficiency in Python and experience with tools like napari, scikit-image, OpenCV, and Pytorch
Familiarity with diverse imaging modalities (lightsheet microscopy, CT, ultrasound) is highly desirable
Strong programming skills and experience with collaborative software development (e.g., Git)
Excellent communication skills and ability to work in interdisciplinary teams
Interest in bridging image analysis with mechanistic modeling

We offer
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A stimulating research environment with state-of-the-art facilities at one of the world’s top universities
Access to a vibrant, international research community
Opportunities for professional development, including participation in conferences and workshops
A competitive salary and excellent benefits in accordance with ETH Zurich guidelines
The position can be held for up to 6 years.
Working, teaching and research at ETH Zurich (https://ethz.ch/en/the-eth-zurich/working-teaching-and-research.html)

We value diversity
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In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish.

Curious? So are we.
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We look forward to receiving your online application with the following documents:

Cover letter highlighting research experience and motivation for applying
Curriculum vitae, including a list of publications
Diplomas & transcripts
Contact information for at least two referees

Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

Further information about the CoBi group can be found on our website. Questions regarding the position should be directed to Prof. Iber at [email protected] (no applications).

About ETH Zürich
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ETH Zurich is one of the world’s leading universities specialising in
science and technology. We are renowned for our excellent education,
cutting-edge fundamental research and direct transfer of new knowledge
into society. Over 30,000 people from more than 120 countries find our
university to be a place that promotes independent thinking and an
environment that inspires excellence. Located in the heart of Europe,
yet forging connections all over the world, we work together to
develop solutions for the global challenges of today and tomorrow.