Post-Doc Position: Bio-Image Analysis @ETH, Switzerland

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 that leverages images to develop data-driven 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 processes such as 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 of the University of Basel, and the pharmaceutical and biotech industry.

Project background

We seek a highly motivated postdoctoral researcher to develop and apply cutting-edge image analysis techniques. The successful candidate will contribute to projects involving diverse imaging modalities, including lightsheet microscopy, CT imaging, and ultrasound imaging. A strong emphasis will be placed on leveraging modern tools like napari and related Python- or AI-based frameworks to process, analyze, and visualize large-scale datasets.

Job Description:

• Develop and apply state-of-the-art algorithms for image segmentation, quantification, and visualization
• Collaborate with interdisciplinary teams working on biological, medical, and physical imaging applications
• 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:

The successful applicant must be self-motivated and enthusiastic to use cutting image processing algorithms and software, and to develop novel algorithms that enable ambitious, cutting-edge research at the interphase of developmental and computational biology.

• PhD in Computer Science, Bioinformatics, Biomedical Engineering, or a related field
• Proven expertise in image analysis, with a strong publication track record
• Proficiency in Python and experience with tools like napari, scikit-image, Pytorch, and related libraries
• Familiarity with diverse imaging modalities (lightsheet microscopy, CT, ultrasound) is highly desirable
• Strong programming skills in Python and experience with collaborative software development (e.g., Git)
• Excellent communication skills and ability to work in interdisciplinary teams

We offer