Assistant Professor in Quantitative Image Analysis (Tenure Track 1.0 FTE)

To complement and strengthen its research and teaching activities, the division of Cell Biology, Neurobiology and Biophysics is seeking a creative and collaborative specialist in quantitative image analysis. You will be challenged to set up your own independent group and develop strong research links with the other research groups within the division.

You are a researcher who is interested in developing innovative approaches for (real-time) analysis of complex microscopy data. This position offers many opportunities to collaborate with experimental groups that develop and apply advanced microscopy techniques. Particularly exciting is the anticipated interplay with the groups within the recently awarded Gravitational programme IMAGINE! - Innovative Microscopy and Guidance of Cells in their Native Environment. This programme aims to transform cell biology by developing and applying advanced microscopy and real-time molecular manipulation techniques to study cells in their natural complexity and diversity. One technological goal is to establish robust event-driven imaging and high-precision control strategies that will enable real-time manipulation of key aspects of the biological systems that will be studied (smart microscopy). Ultimately, the goal is to establish microscopy-guided automated real-time control of biological processes, which will depend to a large extent on novel approaches for real-time automated interpretation of microscopy data.

You, as an Assistant Professor, will be encouraged to actively seek funding for new research projects through personal, national, European and other international grant opportunities .You will supervise the research of Postdoctoral Researchers, PhD candidates, Master’s students, and Bachelor's students. Furthermore, you have the ambition to actively participate in teaching activities at Bachelor's and Master's levels. You enjoy and are motivated to educate and inspire a new generation of scientists.