Navigation and service

Advertising division: INM-6 - Computational and Systems Neuroscience
Reference number: 2018-322

test

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

Datamanager

Your Job:

  • 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”

Your Profile:

  • 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

Our Offer:

  • 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.

Additional Information

We look forward to receiving your application, preferably online via our online recruitment system on our career site, quoting the above-mentioned reference number.

Questions about the vacancy?
Contact us by mentioning the reference number 2018-322: career@fz-juelich.de
Please note that for technical reasons we cannot accept applications via email.