Postdoc Research Group Siegert

Institute of Science and Technology Austria; Klosterneuburg; Vor Ort; EUR 45.000 - 70.000; Vollzeit

Zusammenfassung

Institute of Science and Technology Austria (ISTA) seeks a highly capable quantitative scientist to advance MIND-MAP by developing mathematical and computational tools for 3D microglia morphology analysis. You will work with international partners to bridge theory and experiment in neuroscience.

Requirements include a PhD near completion in a quantitative field, strong modeling and computing skills, and proficiency in Python/MATLAB/C++.

Qualifikationen

• PhD (or near completion) in a quantitative field with applications to biology and neuroscience.
• Strong background in mathematical modeling, scientific computing, image analysis, ML, geometry or topology.
• Demonstration of innovative results and good communication skills are essential.
• Experience writing maintainable scientific software (Python, MATLAB, and/or C++).
• Experience with GitHub and version control is desired.

Aufgaben

• Develop novel mathematical and computational methods for multidimensional biological image data, including segmentation, shape analysis, dynamics, and statistical modeling.
• Collaborate with experimental neuroscientists to apply quantitative approaches to biological questions.

Kenntnisse

Mathematical modeling

Scientific computing

Image analysis

Machine learning

Computational geometry

Topology

Python

MATLAB

C++

GitHub

English communication

Independent work

Ausbildung

PhD (or near completion) in applied mathematics, computer science, computational science, data science, biomedical engineering, or related quantitative discipline

Tools

Fiji

Jobbeschreibung

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)

ISTA is growing. Grow with us!

Institute of Science and Technology Austria (ISTA) is a constantly growing international institute forconducting world-class research in mathematics, computer science,life sciences & physical sciences. We strive to recruit passionateprofessionals from across the world over all fields who strive tosupport our goal of excellent research. Located within a beautifulcampus on the outskirts of Vienna, we offer multiple opportunitiesfor personal growth in a stable working environment.

*This position comes with possible overpayment depending on education, qualification and work experience. For more information on how ISTA processes your personal data, please refer to www.ista.ac.at/data-protection.