Our Group

MIND-MAP (Microglia Integrative Network of Dynamics – Morphology, Analysis, and Prediction) is an interdisciplinary and international FWF WEAVE project between Siegert (Austria), Dłotko (Poland), and Hahn (Czech Republic) groups to investigate how the dynamic 3D morphology of microglia reflects their functional states in the healthy adult brain. The project combines state-of-the-art microscopy, machine learning, numerical modeling, and topological data analysis to develop next-generation computational tools for quantifying microglial morphology and dynamics. MIND-MAP aims to establish a predictive framework that links cell shape to brain function and to generate open-source methods for the quantitative analysis of complex cellular morphology. This position is ideal for a quantitative scientist who enjoys developing new mathematical and computational methods while working closely with experimental researchers to answer fundamental questions in neuroscience.

Your Responsibilities

• Develop novel mathematical and computational methods for the analysis of multidimensional biological image data, incl. designing algorithms for image segmentation, geometric and topological shape analysis, temporal dynamics, and statistical modeling of complex cellular structures
• Strong interest in applying mathematical methods, quantitative, and computational approaches to biological questions is essential, as the candidate will collaborate closely with experimental neuroscientists

Your Profile

• A PhD (or close to completion) in applied mathematics, computer science, computational science, data science, biomedical engineering, or a related quantitative discipline with proven application to biology and neuroscience questions.
• Strong background in mathematical modeling, scientific computing, image analysis, machine learning, computational geometry, topology, or related fields
• Demonstration of innovative scientific results obtained during the PhD and communication skills are important elements of evaluation.
• Verifiable experience developing computational methods and writing high-quality, maintainable scientific software (preferably in Python, MATLAB and/or C++). Experience in standard bioimaging analysis tools (e.g., Fiji) is a plus.
• Experience in version control and project collaboration using GitHub
• Ability to work independently while thriving in an interdisciplinary research environment
• Fluency in spoken and written English. (working language)

Application documents: Cover letter incl. motivation, CV incl. publication list, GitHub links, names of at least three references

To submit your application, please email:ssiegert@ist.ac.at with the subject title "Postdoc Research for WEAVE project”. The position closes once a suitable candidate is found.