Postdoc Position in Computational Psychiatry/Neuroscience @Columbia

The Laboratory for Computational Psychiatry and Translational Neuroscience at Columbia University (PI: Kyo Iigaya. https://www.iigayalab.com) is looking for a motivated postdoc to work on research in computational neuroscience/psychiatry, with a particular focus on understanding neural computation underlying adaptive and maladaptive learning and decision-making under uncertainty. The starting date is flexible.

We are a new laboratory working at the interface between computational neuroscience and psychiatry. Our goal is to understand neural computation underlying learning and decision-making across species in normal and abnormal states, and to translate our findings to clinical applications in psychiatry. We use both theoretical and experimental tools, including reinforcement-learning models, (deep, recurrent) neural network models, web-based behavioral experiments, and fMRI. We work closely with basic and clinical laboratories across Columbia, including labs at the Psychiatry Department, the Center for Theoretical Neuroscience, and the Zuckerman Mind Brain Behavior Institute.

• The ideal candidate has a strong background in the computational modeling of behavioral and neural dynamics, as well as in data analyses using machine learning tools.
• Experiences in programming online experiments (e.g., Mturk) or administrating fMRI experiments are a plus.
• The successful candidate should have a Ph.D. in computational neuroscience, physics, computer science, psychology, or related fields.

Candidates should send a single PDF file to ki2151@columbia.edu with the subject ‘Postdoc Application‘. The PDF should contain:

• a CV
• a brief summary of research interests, and
• the names and contact details of three referees who will be willing to write reference letters.

Informal inquiries about the position are encouraged. Application reviews will continue until the position is filled.

Tagged as: Computational Neuroscience, Neuroscience