Post-Doc Position: Bio-Image Analysis
vor 1 Woche
ETH Zürich is well known for its excellent education, ground-breaking fundamental research and for implementing its results directly into practice.
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 to the University of Basel, and the pharmaceutical and biotech industry.
Project backgroundWe 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.
Responsibilities- 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
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
- 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
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.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
- 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, iberd@ethz.ch (no applications).
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