Post Doc in Neuroinformatics

Ludwig Maximilians University of Munich Faculty of Biology


Postdoc / Software Developer in Neuroinformatics

Institution: Faculty of Biology
Occupation date: as soon as possible
Application deadline: November 15, 2020
Salary group: up to E13
Time limit: 1 year

There is basically the possibility of part-time employment.

The Ludwig Maximilians University of Munich (LMU) is one of the most renowned and largest universities in Germany.


At the German Neuroinformatics Node (G-Node,, Ludwig-Maximilians-Universität München, a full-time position is available for the development of solutions for data management in neuroscience. Variety and complexity of research data in this field bring the challenge of large-scale data access, consistent storage and efficient data analysis. G-Node is providing a data management platform for version control, collaborative sharing and publishing of research data ( We are looking for a skilled and enthusiastic individual to contribute to the development of this and other G-Node tools and services (, working closely with other neuroinformatics initiatives and neuroscience laboratories


Candidates should have excellent programming skills, preferably in Python and other languages such as Go, C++, or Java, the ability to work in a team, and a strong interest in the development of open-source solutions for neuroscience. Experience in any field of relevance, such as web development (Javascript, HTML/CSS, web frameworks), databases (SQL or non-SQL), scientific software and analysis, experimental or computational neuroscience, would be beneficial.

The position is available immediately, for one year initially with possibility of extension. Salary is according to TV-L. Applications will be accepted until the position is filled. Individuals with disabilities will be given preference in case of equal qualification. Applications by women are specifically encouraged.

Wir bieten Ihnen eine interessante und verantwortungsvolle Tätigkeit mit guten Weiterbildungs- und Entwicklungsmöglichkeiten. Schwerbehinderte Personen werden bei ansonsten im Wesentlichen gleicher Eignung bevorzugt. Die Bewerbung von Frauen wird begrüßt.

Weitere Informationen


Applications should include CV, statement of experience and motivation, code examples, and contact details for references. Informal inquiries prior to application are welcome. Applications should be sent, preferably as single pdf file by email, to Prof. Thomas Wachtler

Im Rahmen Ihrer Bewerbung auf eine Stelle an der Ludwig-Maximilians-Universität München (LMU) übermitteln Sie personenbezogene Daten. Beachten Sie bitte hierzu unsere Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten und die Datenschutzerklärung der LMU für den Internetauftritt. Durch die Übermittlung Ihrer Bewerbung bestätigen Sie, dass Sie die Datenschutzhinweise und die Datenschutzerklärung zur Kenntnis genommen haben und mit der Datenverarbeitung im Rahmen des Auswahlverfahrens einverstanden sind.

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