Job Description

Requirements

• We are looking for candidates with an excellent PhD 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 expect the job holder to establish a local database that organizes the vast amount of research data in this project. 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.
• 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
• christina.vonbehren@uni-goettingen.de