Post-DocApplications Closed
Prof.Dr. Michael Wibral
Göttingen, Germany, Europe
Apply by Dec 13, 2021
Application deadline
Dec 13, 2021
Job
Job location
Prof.Dr. Michael Wibral
Göttingen, Germany, Europe
Geocoding in progress.
Source: legacy
Quick Information
Application Deadline
Dec 13, 2021
Start Date
Flexible
Education Required
See description
Experience Level
Not specified
Job
Job location
Prof.Dr. Michael Wibral
Job Description
This position is available starting from January 1st, 2022. It is a full-time position and is fixed until 31.03.2024. Salary and working hours will be according to the German grade 13 TV-L (100%, currently 39.8 hours per week).
The position will be associated with the group of Prof. Dr. Michael Wibral. We are recruiting a Postdoc for the interdisciplinary
research project “Evolutionary Convergence of Hierarchical Information Processing” funded by the German Research
Foundation (DFG) within the research initiative SPP2205 “Evolutionary optimization of neuronal processing”. The project
aims to establish the common information theoretic principles of computation in hierarchical neural systems that are
conserved across species from Drosophila, via rodents to primates and humans.
We are looking for candidates with an excellent PhD and Master's Degree in neuroscience, cognitive science, physics, computer science or a related field who are committed to pursuing a career in research. The successful applicant will develop and apply novel information theoretic measures to Electrophysiological neural recordings and calcium imaging signals to investigate
signatures of predictive hierarchical information processing. The ideal candidate should have excellent skills in scientific
writing, experience with the application of information theory to biological data, and should have demonstrated her/his ability
to work independently. Prior experience with predictive coding theory and experiments are plus. Proven coding skills in a
language relevant to data analysis (e.g. Python, Julia, R, Scala, Java), prior experience with research-data management
systems (RDMS) are also considered as an advantage. We offer the opportunity to become a member of a vibrant community
dedicated to innovative research and teaching at the frontier of the exact and biological sciences, and to connect to the latest
developments in information theory, including partial information Decomposition.
The Göttingen Campus is a leading center of biophysics and neuroscience in Europe hosting numerous internationally
renowned research institutions, including the University and its Medical Center, the three life science Max Planck Institutes,
the European Neuroscience Institute, the German Primate Center, and the Bernstein Center for Computational Neuroscience
(BCCN) Göttingen.
Please submit your application in digital form only and send all relevant documents in one single PDF-document, including a
letter of interest, your curriculum vitae with a list of publications, copies of your certificates and contact information of at
least two references to Wibral_lab@uni-goettingen.de by December 13, 2021.
The position will be associated with the group of Prof. Dr. Michael Wibral. We are recruiting a Postdoc for the interdisciplinary
research project “Evolutionary Convergence of Hierarchical Information Processing” funded by the German Research
Foundation (DFG) within the research initiative SPP2205 “Evolutionary optimization of neuronal processing”. The project
aims to establish the common information theoretic principles of computation in hierarchical neural systems that are
conserved across species from Drosophila, via rodents to primates and humans.
We are looking for candidates with an excellent PhD and Master's Degree in neuroscience, cognitive science, physics, computer science or a related field who are committed to pursuing a career in research. The successful applicant will develop and apply novel information theoretic measures to Electrophysiological neural recordings and calcium imaging signals to investigate
signatures of predictive hierarchical information processing. The ideal candidate should have excellent skills in scientific
writing, experience with the application of information theory to biological data, and should have demonstrated her/his ability
to work independently. Prior experience with predictive coding theory and experiments are plus. Proven coding skills in a
language relevant to data analysis (e.g. Python, Julia, R, Scala, Java), prior experience with research-data management
systems (RDMS) are also considered as an advantage. We offer the opportunity to become a member of a vibrant community
dedicated to innovative research and teaching at the frontier of the exact and biological sciences, and to connect to the latest
developments in information theory, including partial information Decomposition.
The Göttingen Campus is a leading center of biophysics and neuroscience in Europe hosting numerous internationally
renowned research institutions, including the University and its Medical Center, the three life science Max Planck Institutes,
the European Neuroscience Institute, the German Primate Center, and the Bernstein Center for Computational Neuroscience
(BCCN) Göttingen.
Please submit your application in digital form only and send all relevant documents in one single PDF-document, including a
letter of interest, your curriculum vitae with a list of publications, copies of your certificates and contact information of at
least two references to Wibral_lab@uni-goettingen.de by December 13, 2021.
Requirements
- We are looking for candidates with an excellent PhD and Master's Degree in neuroscience
- cognitive science
- physics
- computer science or a related field who are committed to pursuing a career in research. The successful applicant will develop and apply novel information theoretic measures to electrophysiological neural recordings and calcium imaging signals to investigate
- signatures of predictive hierarchical information processing. The ideal candidate should have excellent skills in scientific
- writing
- experience with the application of information theory to biological data
- and should have demonstrated her/his ability
- to work independently. Prior experience with predictive coding theory and experiments are plus. Proven coding skills in a
- language relevant to data analysis (e.g. Python
- Julia
- R
- Scala
- Java)
- prior experience with research-data management
- systems (RDMS) are also considered as an advantage. We offer the opportunity to become a member of a vibrant community
- dedicated to innovative research and teaching at the frontier of the exact and biological sciences
- and to connect to the latest
- developments in information theory
- including partial information decompositions.
Job
Job location
Prof.Dr. Michael Wibral
Coordinates pending.