The INM-6, Computational and Systems Neuroscience, develops mathematical models of the dynamics and function of neural circuits. These include model-driven analysis of brain activity and structure, and the simulation of biologically realistic models. The subinstitute is also part of the Institute of Advanced Simulation (IAS-6, Theoretical Neuroscience) and hosts the coordination office (BCOS) of the national Bernstein Network Computational Neuroscience. The INM-6 is strongly involved in the EU flagship project "Human Brain Project" (HBP, https://www.humanbrainproject.eu/) and leads several work packages in the subproject Theoretical Neuroscience as well as in the platforms Neuroinformatics, Brain Simulation and High-Performance Analytics and Computing. Together with its partners, the INM-6 develops leading codes for simulation (http://www.nest-initiative.org/) and data analysis (https://python-elephant.org) on the brain scale with the resolution of individual nerve cells in an open source approach.
The department Statistical Neuroscience develops statistical methods for the analysis of experimental electrophysiological data from massively parallel electrophysiological recordings and leads the development of open source software tools for the analysis of activity data and validation of models on the population level. The department aims to fill a postdoctoral position that is responsible for the execution of projects within the subproject WP4.5 "Linking Model Activity and Function to Experimental Data" and the HBP High-Level Support Team (WP5.9) of the EU flagship project Human Brain Project (HBP).
We are looking to recruit a
2018-417 - Postdoc in Computational and Systems Neuroscience
- Development, optimization and adaptation of conceptual strategies and concrete implementations for the validation of different model implementations and for the comparison of experimental and simulated activity data
- Further development of methods for the analysis of neuronal multichannel data from experiment and simulation, with a focus on interactions between cortical areas in the context of visuomotor-integration
- Development of methods for quantifying the relationships between data on different spatiotemporal scales (spikes, LFP, ECoG)
- Support and development of workflows for data analysis and model validation within the framework of the infrastructure of the Human Brain Project (HBP)
- Creation or adaptation and implementation of software in Python
- Integration of the codes into the shared analysis library Elephant of the HBP, coordinated at INM-6
- Cooperation with experimental collaboration partners and software engineers
- Close cooperation with the project partners within the framework of the HBP
- Presentation of project results at international conferences
- Regular organization and participation in project meetings and video conferences for project management
- Scientific and administrative project coordination
- Support in the preparation of scientific project reports
- Support in the supervision of PhD students
- University degree in physics, mathematics or computer science
- A completed doctorate in computational neuroscience, applied mathematics, computational neuroscience, physics or a related subject
- Detailed knowledge of neuroscientific concepts, especially in neuronal dynamics, statistical analysis of neuronal activity and dynamics, and expertise in mathematical models of neuronal networks
- Expertise in network modelling at different spatial levels
- Experience with large-scale data-science activities
- Experience in scientific programming, especially Python; basic knowledge in C++ and higher programming languages for scientific computations, e.g. Matlab
- Very good ability to cooperate in an interdisciplinary international working environment
- Ability to approach tasks with efficiency and reproducibility in mind
- Fluent in spoken and written English
- Experience in scientific publishing in a related field (proven by a corresponding list of publications)
- Ability and willingness to act on one's own responsibility
- Confident appearance and communication skills in an interdisciplinary working environment
- High social competence and ability to work cooperatively in a team
- Willingness to travel
- Structured and systematic working method
- 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 via our Online-Recruitment-System!
Questions about the vacancy?
Contact us by mentioning the reference number 2018-417: firstname.lastname@example.org
Please note that for technical reasons we cannot accept applications via email.