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Postdoctoral researcher to work on interactive perception algorithms for medical imaging analysis

100%, Zurich, fixed-term

The Visual Intelligence and Systems Group, led by Prof. Fisher Yu, specializes in computer vision, representation learning, and interactive system design. The group is looking for a postdoctoral researcher to work on interactive perception algorithms for medical imaging analysis. The researcher will have close collaboration with the professors and students in the Computer Vision Laboratory.

Project background

While medical imaging techniques are revolutionizing disease diagnosis, interpreting the images still fully relies on radiologists with multiple years of training and practicing. This human-system interaction potentially introduces subjective biases into the diagnosis processes, significantly increases time and costs of medical imaging interpretation and subsequent patient management decision making, and hinders the use of those advanced technologies in developing parts of the world where access to trained experts is scarce. We aim to develop interactive algorithms and software systems that can assist radiology professionals and medical doctors in analyzing medical images. This work will combine the recent advances in deep learning and classical statistical analysis to resolve the challenges of incomplete data annotation, data scarcity, structured multitask learning, and supervision discrepancy. An industry leader will provide access to large scale datasets, consultation with frontline medical experts, and technical advice to support the success of this research.

Job description

  • Develop machine learning and computer vision algorithms to locate and segment disease target areas in CT/PET/MRI images
  • Investigate active learning and online learning techniques to build collaboration between radiologists and algorithms for comprehensive and efficient medical image analysis
  • Prototype the next generation software systems to deploy the invented algorithms in practice
  • Collaborate with industrial partners and radiologists to iterate the design of the systems
  • Publish the algorithms and systems in top-tier conferences on machine learning, computer vision, or medical imaging

We offer

  • An opportunity to further your scientific career at a leading academic institution
  • Access to industry-scale medical data and close collaboration with industry leaders and medical experts
  • Competitive salary (ETH Zurich Salary) for postdoc positions
  • Excellent working conditions
  • A chance to work in a stimulating environment as part of a multi-cultural research team
  • Exposure to both academia and the industry world
  • High quality of life in one of the world’s most livable cities

Your profile


  • Ph.D. degree in computer science, engineering, or a related subject
  • Strong capabilities in algorithm design, mathematical formulation, and statistical analysis
  • Proficiency in programming and object-oriented design
  • Documented experience with deep learning technology and computer vision
  • Fluent communication in English (both written and spoken)
  • Motivation, curiosity, and willingness to learn
  • Leadership skills in nurturing junior researchers

Bonus points

  • Experience in medical imaging analysis
  • Experience in 3D data parsing and understanding
  • Experience in active learning, online learning, and interactive systems
  • Experience in large-scale software development

ETH Zurich

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.
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We are looking forward to your online application including a statement of research interests, your CV, the URL of your Google Scholar page, and the names and contact information of 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 Computer Vision Lab can be found on our website Questions regarding the position should be directed to Prof. Fisher Yu, email: (no applications).

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