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Published(349 days ago)
Forschungszentrum Jülich GmbHJülich
As a member of the Helmholtz Association, Forschungszentrum Jülich makes an effective contribution to solving major challenges facing society in the
fields of information, energy, and bioeconomy. It focuses on varied tasks in the area of research management and utilizes large, often unique, scientific
infrastructure. Come and work with around 5,900 colleagues across a range of topics and disciplines at one of Europe's largest research centres.
The Institute of Neuroscience and Medicine (INM) at the Jülich Research Center in Germany investigates the structure and function of the brain. The subinstitute
INM-6 consists of 4 departments and 1 team that conduct research in the field of computational and systems neuroscience. The Statistical Neuroscience department
headed by Prof. Sonja Grün develops computational methods to analyze the joint activity of neuronal networks, and applies these methods to experimental data in
the context of international collaborations using state-of-the-art approaches from neuroinformatics.
For this project the Statistical Neuroscience group is seeking a
development and maintenance of the data processing workflows of the institute using state-of-the-art technologies along the FAIR principles, including experimental recordings, simulation outcomes and data produced by the analysis process
design of metadata schemes for different work areas (experiments/simulation)
development of concepts for interfacing data storage technologies with complementary software
development of ontologies and software tools with the community
in-depth curation and documentation of primary data (e.g. spikes, LFPs or Ca2+imaging)
implementation of version-controlled, provenance-tracked data preprocessing pipelines and solutions for cross-lab data storage and exchange
integration of primary data and metadata in the different work areas
assisting scientists in the implementation of custom codes for data processing
preparing datasets for publication and making data discoverable by knowledge graphs
training lab members and collaborators in data management best practices
representing the technology at scientific conferences and courses, to the public and within the EU Flagship Project "Human Brain Project"
university degree in natural sciences or computer science
good expertise in Python and Matlab, in semantic web technologies relevant for data curation, ontologies and provenance (RDF, XML, JSON, SHACL, PROV, .), in version control and issue tracking systems and in Linux
experience with electrophysiological data and corresponding acquisition/storage technologies
experience in web development
experience in training and documentation
high ability to work in an interdisciplinary, international team
fluent in English, spoken and written
ability to work independently, systematically and on one's own responsibility
good communication skills
willingness to travel
exciting work setting on an attractive research campus with a very good infrastructure, ideally situated within the city triangle of Cologne, Düsseldorf and Aachen
a position in a creative and international team that conducts research at the frontiers of science, themes ranging from computational neuroscience to simulation technology
world class science environment at the interface between neuroscience and technology on the most complex known systems
excellent scientific equipment including the fastest supercomputer in Europe
a comprehensive further training programme
flexible working hours and various opportunities to reconcile work and family life
limited until 31.03.2020 with possible longer-term prospects
salary and social benefits in conformity with the provisions of the Collective Agreement for the Civil Service (TVöD), depending on the applicant's qualifications and the precise nature of the tasks, salary grade 13-14 TVöD-Bund
Forschungszentrum Jülich aims to employ more women in this area and therefore particularly welcomes applications from women.
We also welcome applications from disabled persons.
We look forward to receiving your application, preferably via our online recruitment system
on our career site, quoting the reference number 2018-322.
Questions about the vacancy?
Contact us by mentioning the reference
number 2018-322: email@example.com
Please note that for technical reasons
we cannot accept applications via
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