Update [2019-10-31]: The position is now filled.
The lab of Andrew Straw at the University of Freiburg, Germany, is seeking a scientist (postdoc or PhD).
The project is to build computational models of animal vision and navigation. Recent advances in machine learning will be used to model trajectories recorded from behavioral experiments using our state-of-the art virtual reality technology. The goal is to gain insight into the algorithms and neural implementations that animals use to see and navigate. Models of control systems will be used to generate predictions of animal behavior based on internal state and sensory input. The modeling be informed by neuro-genetic experiments on Drosophila to attribute specific functions to specific biological components.
In addition to carrying out the research program above, the position will also teach data analysis and programming to BSc and MSc students. There will be substantial opportunities to collaborate with other members of the Straw Lab and other groups at the University of Freiburg and beyond.
Requirements:
- A MSc or PhD in biology, physics, computer science, engineering or related field
- One or more years of experience with data analysis or computational modeling
- Fundamental curiosity about how the brain coordinates behavior
- Enjoyment of working with and teaching others
- Fluency in the English language
- Ability to write results for publication in the scientific literature
Desired skills:
- Experience with python, git, linux, and rust
- Experience working with animal behavioral data
- Fluency in the German language
Compensation will be according to the German salary level TV-L E13, 100%. The position will initially be appointed until 31 December 2020, with further funding available for an additional three years upon satisfactory performance.
To apply or for any questions, please contact Andrew Straw (straw@bio.uni-freiburg.de). The position is available immediately and candidates will be sought until the position is filled. Apply with a cover letter, CV, and the names of at least two references.
