Post-Doc Position: Bio-Image Analysis

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

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

• 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

• 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

• 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.

We value diversity

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.

About ETH Zürich

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.