At the German Neuroinformatics Node (G-Node, http://www.g-node.org), Ludwig-Maximilians-Universität München, a full-time position is available to join the G-Node team in developing neuroinformatics solutions for data management in neurophysiology. Variety and complexity of data in this field bring the challenge of large-scale data access, consistent storage and efficient data analysis. G-Node is interacting closely with research labs to address these challenges with state of the art neuroinformatics methods. Current developments include a data sharing platform and tools for metadata management and data annotation. G-Node is part of the Bernstein Network Computational Neuroscience (http://nncn.de), is collaborating with the International Neuroinformatics Coordination Facility (INCF, http://incf.org) Secretariat and other INCF National Nodes, and is involved in teaching and training activities.

The position involves working in a small team of developers within a lively neuroscience environment, with ample opportunities for bridging between neuroscience research and neuroinformatics. Tasks will include contributing to the development and enhancement of G-Node tools and services (http://www.g-node.org/tools-and-services), working closely with neuroscience laboratories that use, or plan to use, neuroinformatics solutions.

Candidates should have excellent programming skills, preferably in Python and C++ or Java, knowledge about relational databases, the ability to work in a team, and a strong interest in the development of novel open-source solutions for neuroscience. Experience in further fields of relevance, such as web development (Javascript, HTML/CSS, web frameworks), semantic web technologies, scientific software and analysis, experimental or computational neuroscience, would be beneficial.

The position is available immediately, salary level is according to TV-L, duration is one year with possibility of extension.

Severely disabled applicants will be given preference in case of equal qualification. Applications by women are specifically encouraged.

Applications should include CV, statement of experience and motivation, and names of referees. Informal inquiries prior to application are welcome. Applications will be accepted until the position is filled. Applications should be sent, preferably as pdf file by email, to Thomas Wachtler wachtler@bio.lmu.de