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This research project aims to develop a high-throughput and sensitive diagnostic tool based on imaging flow cytometry and deep learning. The successful candidate will lead the design, development and testing of this system, with a view to realizing a diagnostic device for clinical use. Research will involve interdisciplinary collaborations with researchers at ETH Zurich (Claassen and deMello groups) and the University Hospital in Zurich (Guenova group).
We wish to recruit a motivated and talented post-doctoral fellow with experience and an established track record in the areas of microfluidics, microscopy and image processing. The candidate should hold a doctorate in engineering or a related discipline. Expertise and familiarity with optics, imaging, instrument control, automation and single cell analysis is highly desirable. Previous experience in machine learning is also advantageous. We are looking for a motivated individual with excellent communication skills and someone who is capable of working in an interdisciplinary environment. Excellent language skills and an ability to communicate with clinicians is required. A competitive salary is offered, and will be well matched to the costs of living in Zürich. The position will last for a period of two years and can start at any time after 1 July 2019.
We look forward to receiving online applications here that include a brief statement of research interests, a curriculum vitae, a list of publications and names of suitable references. Please note that applications must be submitted through the online application portal. Applications via email or postal services will not be considered.
Specific questions regarding the position can be directed to Andrew deMello and Stavros Stavrakis, by email (email@example.com, firstname.lastname@example.org).