We are looking for a computational postdoc broadly interested in using machine learning approaches to answer scientific questions about the brain. We focus on designing
closed-loop methods for systems neuroscience as well as building
explainable computational models of neural responses and behavior. An important component of our work is to build tight-knit collaborations with experimental neuroscientists—collecting data and building models in tandem. A long-term goal is to identify and understand the step-by-step computations in the brain.
For more information, see
cowleygroup.cshl.eduPosition Requirements
Qualifications: PhD in machine learning, computer science, statistics, engineering, neuroscience, or related field; strong programming skills, publications in machine learning conferences or neuroscience journals, and experience or interest in neuroscience and collaborating with experimentalists. Familiarity with deep learning is recommended but not needed.
To apply: Interested candidates should Please submit a CV, a short description of how our research interests overlap, and contact information for two references to:
cowley@cshl.edu. In addition, please apply via the CSHL careers website at:
https://cshl.peopleadmin.com/postings/20312 Position ID 03327-R.
Candidates from non-traditional and/or underrepresented backgrounds, broadly defined, are strongly encouraged to apply.
Environment
Cold Spring Harbor Laboratory is a world-renowned biomedical research institution in New York. It has shaped contemporary biomedical research and is the home of eight Nobel Prize laureates. Cold Spring Harbor Laboratory provides a highly dynamic and interactive research environment and also a unique opportunity of timely exposure to advances in various biomedical research fields and of interaction with a broad range of researchers from all over the world through its renowned Meetings and Courses program.
We believe that science is for everyone. We have had researchers with a variety of backgrounds and believe in the importance of diversity, equity, and inclusion.