Postdoc - Theoretical Neuroscience - Helen Wills Neuroscience Institute

The Helen Wills Neuroscience Institute at the University of California, Berkeley seeks applications for a Postdoc in the Bouchard Lab, in the area of theoretical neuroscience. The Bouchard lab at UC Berkeley is an interdisciplinary team that focuses on understanding how distributed neural circuits give rise to coordinated behaviors and perceptions. There will be collaboration with the lab members at LBNL. We are looking for a post-doctoral researcher to work at the interface of control theory, information theory, dynamical systems, statistical machine learning, and neural time-series data. The goal is to better understand principles and mechanisms underlying distributed brain network computations through the dual lenses of control theory and information theory. This position will focus on developing and applying theory, models, and methods that provide principled understanding of simultaneous multi-region, high-dimensional neural population dynamics from diverse brain areas.

The position is located at UC Berkeley (UCB), in collaboration with Lawrence Berkeley National Laboratory (LBNL), and is part of a broader collaborative effort between UCSF, LBNL, UCB, and UC Davis. This Bay Area collaboration combines UCSF/UCD's strong clinical and experimental neuroscience experience with in vivo cortical electrophysiology, UCB's expertise in theoretical neuroscience, statistical learning and data analysis, LBNL's supercomputing and applied mathematics together with electronics and micro-fabrication. Successful applicants will have access to the full range of facilities and expertise uniquely allowed by this collaboration.

Responsibilities:

* designing and executing theory, models, methods

* application of developed theory, models, methods to neural population dynamic data

* manuscript preparation

* presenting research at lab meetings and scientific conferences

* contributing to grant proposals

* mentoring students

Lab: https://bouchardlab.lbl.gov/

PhD (or equivalent international degree) or enrolled in a PhD (or equivalent international degree) program.

• PhD (or equivalent international degree) required by the appointment start date.
• No more than three years of post-degree research experience by start date.

• Expertise in theoretical neuroscience
• Excellent writing and communication skills
• Strong publication record in peer reviewed journals
• PhD in neuroscience, computer science, physics, electrical engineering, mechanical engineering, etc.,
• Demonstrated expertise in developing and applying methods for the analysis of neural population data.
• Experience in control theory, information theory, and/or machine learning desirable, required.

• 3 required (contact information only)

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