Connectionists: Open position in Juelich, Germany: Data Analyst at Postdoctoral Level in Computational and Systems Neuroscience

Martina Reske m.reske at fz-juelich.de
Fri Oct 21 05:43:34 EDT 2016 

The Institute of Neuroscience and Medicine (INM) at Research Center Jülich, Germany, investigates the structure and function of the human brain on different spatial and temporal scales within the research program “Decoding the Human Brain”. The organizational unit INM-6, Computational and Systems Neuroscience (www.csn.fz-juelich.de<http://www.csn.fz-juelich.de>), develops mathematical models of neuronal dynamics and function. Model-driven analyses of brain activity and structure as well as simulation of biologically realistic models form the core of our work. The team Statistical Neuroscience develops statistical methods for the analysis of massively parallel experimental electrophysiological data and drives the development of the open source software tools for the analysis of electrophysiological data (e.g. Elephant).
This team is seeking a data analyst at postdoctoral level for the workpackage WP4.5 "Linking Model Activity and Function to Experimental Data" of the EU flagship project Human Brain Project (HBP). The goal of the workpackage is to investigate mathematical principles and theoretical methods for integrating neuroscience data into models, and for comparing the results of the models with the existing data. Model predictions will in turn be used to suggest new experiments. The candidate will intensely collaborate with modelers and experimentalists, both within the institute as well as within the Human Brain Project. Task 4.5.1 in particular will develop strategies, principles and algorithms allowing comparative assessment of experimental data and different model approaches at different scales and description levels. Hence, it is the goal of this exciting project to get a better understanding of the neuronal processes by working in “integrative loops” of model/theory, acquisition and analysis of experimental electrophysiological data, simulation, visualization and validation. We will build metrics and visualizations that quantitatively compare computational models to experimental data. Specifically, we will implement a “use case”, that will serve as a template for other integrative loops developed in the HBP. Approaches from computational and statistical neuroscience will be used and applied to data from other HBP work packages. In particular, the project requires the comparison of previously described models with experimental data from complex behavioral studies. The candidate will develop and implement standardized data formats, apply computational and statistical tools for data analysis, use graphical visualization to display results and present reports/results to the PIs, collaborators, and the research group.

For this project the Statistical Neuroscience group is seeking a

Postdoc in Computational and Systems Neuroscience

Your Job:

  *   Development of methods for comparing different model implementations and for comparing experimental and simulated data
  *   Participating in the further development of methods for the analysis of massively parallel data and for the comparison of experimental and simulated data sets
  *   Collaboration with experimental partners and modelers
  *   Close collaboration with project partners within the Human Brain Project
  *   Involvement in the further development of the Electrophysiology Analysis Toolkit (Elephant, www.neuralensemble.org/elephant<http://www.neuralensemble.org/elephant>)
  *   Representing project results at internationals conferences
  *   Regular organization of and attendance of project meetings and videoconferences together with or substituting for the workpackage leader
  *   Scientific and administrative project coordination
  *   Supporting the drafting of scientific project reports
  *   Supporting the supervision of PhD students

Your Profile:

  *   Completed study of physics, mathematics or computer science
  *   PhD on computational neuroscience topic, applied mathematics, computational neuroscience, physics, engineering or computer science or related field
  *   Detailed knowledge of neuroscience concepts, especially in neuronal dynamics, analysis of neuronal activity and dynamics and expertise in mathematical models of neuronal networks
  *   Expertise in network modelling on different spatial levels, which requires substantial expertise in mathematics and physics
  *   Experience with large-scale data-science activities
  *   Experience in scientific programming, especially Python; basic knowledge of C++ and high level programming languages for scientific computing, e.g. Matlab
  *   Extensive experience with statistical analysis concepts
  *   Enthusiasm for models and analysis of neuronal activity and dynamic
  *   Enthusiasm for working with PhD students and appreciation of scientific progress as a joint venture
  *   High ability to work in interdisciplinary, international team
  *   Ability to approach tasks with an eye toward efficiency and reproducibility
  *   Fluent in English, spoken and written
  *   Experience in publishing scientific results in a related field (e.g. proven by publication list)
  *   Ability and willingness to work independently and on one’s own responsibility
  *   Ability and willingness to compose project reports
  *   Good interpersonal and communication skills in interdisciplinary work environment
  *   Ability to work in an interdisciplinary team
  *   Willingness to travel
  *   Structured and systematic working style

Our Offer:

  *   Integration into a young, interdisciplinary, and international institute
  *   High visibility through participation in and substitution for institute directors at international project meetings in the Human Brain Project
  *   Participation in publications in state-of-the-art research in computational neuroscience
  *   Job in world class science environment at the interface between neuroscience and technology on the most complex known systems
  *   Possibility to get actively involved in an innovative interdisciplinary project
  *   Exciting working environment on an attractive research campus, ideally situated between the cities of Cologne, Düsseldorf, and Aachen
  *   Limited until 31.03.2018 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 EG 13-14 TVöD-Bund
  *   Publication: simultaneous internal and external publication


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 online via our online recruitment system (http://intranet.fz-juelich.de/SharedDocs/Stellenangebote/_common/dna/2016-233-EN-INM-6.html?nn=1368484) until 17.11.2016, quoting the reference number 2016-233.

Contact Human Resource Development
Kristin Lux
Tel.:+49 2461 61 9700

Contact at INM-6
Prof. Dr. Sonja Grün, INM-6, s.gruen at fz-juelich.de<mailto:s.gruen at fz-juelich.de>
Dr. Martina Reske, INM-6, scientific coordinato, m.reske at fz-juelich.de<mailto:m.reske at fz-juelich.de>



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Dr. Martina Reske
Scientific Coordinator

Institute of Neuroscience and Medicine (INM-6)
Computational and Systems Neuroscience &
Institute for Advanced Simulation (IAS-6)
Theoretical Neuroscience
Jülich Research Centre and JARA
Jülich, Germany
Work +49.2461.611916
Work Cell +49.151.26156918
Fax +49.2461.619460
www.csn.fz-juelich.de<http://www.csn.fz-juelich.de>


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Forschungszentrum Juelich GmbH
52425 Juelich
Sitz der Gesellschaft: Juelich
Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498
Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher
Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender),
Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt,
Prof. Dr. Sebastian M. Schmidt
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