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Postdoc Research Group Siegert

Institute of Science and Technology Austria (ISTA)
Klosterneuburg, NÖ

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Details zur Stelle

Qualifikationen

Doktorat

Vollständige Stellenbeschreibung

Klosterneuburg (Vienna), Austria
€ 73,500* gross/year
Application Deadline: flexible start date

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: [email protected] with the subject title “Postdoc Research for WEAVE project”. The position closes once a suitable candidate is found.

ISTA is growing. Grow with us!

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

ISTA promotes a diverse and inclusive working environment and is committed to the principle of equal employment opportunity for all applicants, free of discrimination. All employment decisions at ISTA are based on job requirements, qualifications, merit and organizational needs. We strongly encourage individuals from underrepresented groups to apply.

Your benefits

Education & training

Cafeteria

Childcare

Free shuttle bus

Multiple health offers

Pension insurance

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.

Your Contacts

Boris Cesnik

Postdoctoral Office

+43 2243 9000 1068

[email protected]

Glen Dalton

Postdoctoral Office

+43 2243 9000 1120

[email protected]

Jetzt bewerben

Erweiterte Suche

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Ich möchte aktuelle Job-E-Mails für Stellen als machine learning in schwechat nö erhalten

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