Postdoc in Experimental Neuroscience and Data-Driven Analysis of Visual Processing

How to apply

Who to contact?	sinz@uni-goettingen.de
Email subject	Start with "[PostDoc]"
What to include?	All application What Ph.D. degree do you (soon) hold? Curriculum Vitae with publication list Statement of motivation (max 500 words) outlining your personal interest in our research area. Links to code you have written (e.g. github or bitbucket) Known programming languages and experience Names and emails of two references. Possible start date If you apply with your own project idea Do you bring funding or not? A concise (pdf, max 1/2 page) “research proposal” on a project you would be interested working on. This is not binding but helps to get the conversation started.

ERC-funded Postdoctoral Position (5 years) in Experimental Neuroscience and Data Analysis

We are seeking a highly motivated postdoctoral researcher to join our team to work on a project funded by the European Research Council (ERC). The candidate would be jointly supervised by Prof. Sinz (Göttingen) and Prof. Rose (Bonn) and focus on experimental aspects of neural recording in freely moving animals (performed in Bonn) and data-driven characterization of visual-motor tuning principles (performed in Göttingen).

Project Description:

The project aims to develop a computational framework to understand how motor behavior influences visual processing in freely behaving mice. The successful candidate will perform neural recordings in freely moving mice and analyze how motor behavior affects visual processing across multiple brain areas using deep learning models.

Key Responsibilities:

• Conduct neural recordings from visual cortex areas in freely moving mice using miniature 2-photon microscopy
• Process and analyze high-dimensional neural and behavioral data
• Characterize visual and motor tuning principles using data-driven approaches
• Design and implement in silico task paradigms to test behavioral benefits of motor signals
• Co-supervise PhD students and collaborate with computational team members
• Verify computational predictions with experimental tests

Required Qualifications:

• PhD in Neuroscience, Biology, or related field
• Experience with in vivo neural recording techniques, particularly in rodents
• Strong background in visual neuroscience
• Proficiency in data analysis and programming (Python preferred)
• Excellent communication and teamwork skills

Preferred Qualifications:

• Experience with experimental design in freely moving animals
• Experience with miniature 2-photon microscopy or similar techniques
• Knowledge of machine learning approaches for neural data analysis
• Experience with behavioral paradigms in rodents
• Familiarity with computational modeling of neural systems

The Position:

• 5-year, full-time position on E13 100% salary. Level will be determined based on experience.
• Based primarily at the lab of Dr. Tobias Rose at the University of Bonn, Germany
• Opportunity to work in an interdisciplinary team of experimentalists and computational neuroscientists
• Access to state-of-the-art recording equipment and computational resources