Flatiron Research Fellow, Center for Computational Neuroscience

Description

Applications are invited for postdoctoral Flatiron Research Fellowships (FRFs) at the Center for Computational Neuroscience (CCN) within the Flatiron Institute at the Simons Foundation. CCN’s research groups include: 

• Computational vision  (PI: Eero Simoncelli)
• Neural circuits and algorithms  (PI: Dmitri ‘Mitya’ Chklovskii)
• Statistical analysis of neural data  (PI: Alex Williams)
• Information Processing in Biological Networks & AI (PI: Yuhai Tu)

The mission of CCN is to develop theories, models, and computational methods that deepen our knowledge of brain function. CCN takes a vertically-integrated “systems" neuroscience approach, building models that are motivated by fundamental principles, that are constrained by properties of neural circuits and responses, and that provide insights into perception, cognition and behavior. This cross-disciplinary approach not only leads to the design of new model-driven scientific experiments, but also encapsulates current functional descriptions of the brain that can spur the development of new engineered computational systems, especially in the realm of machine learning.

In addition to carrying out an independent research program, FRFs are expected to: disseminate their results through scientific presentations, publications, and software release, collaborate with other members of the CCN or Flatiron Institute, and participate in the scientific life of the CCN and Flatiron Institute by attending seminars, colloquia, and group meetings. FRFs also have the opportunity to organize workshops and to mentor graduate and undergraduate students.

FRF positions are two-year appointments and are generally renewed for a third year, contingent on performance. FRFs receive a research budget and have access to the Flatiron Institute’s world-class scientific computing resources. FRFs may be eligible for subsidized housing within walking distance of the CCN. This is a full-time in-person position located at the Simons Foundation office in New York City.

 Applications will be evaluated based on the following selection criteria:

• Past research accomplishments
• Proposed research plans
• Synergy of applicant’s expertise and research proposal topic with existing CCN research groups and projects

Qualifications

Education

• PhD in computational neuroscience or a relevant technical field such as electrical engineering, machine learning, statistics, physics, or applied math.
• PhD must be granted before the start of appointment.

 Preferred Skills and Abilities

• Strong quantitative skills (mathematics, statistics, scientific reasoning), coupled with a flexible multi-disciplinary mindset.
• Strong interest and experience in the scientific study of the brain.
• Demonstrated abilities in analytical calculations, software and algorithm development, modeling and/or scientific simulation.
• Ability to work well independently, as well as in a collaborative environment.

Application Instructions

Required Application Materials

• Brief cover letter explaining how a CCN FRF position fits into your overall career trajectory and which research group(s) you’re interested in joining. Applicants must specify at least one research group. If interested in working in more than one group, please include a description of potential joint research topic(s).
• Research statement (maximum 3 pages) describing past research experience, future research directions, and their relevance to CCN. 
• Curriculum Vitae with bibliography.
• At least two (2) letters of recommendation.

Compensation and Benefits

• The full-time annual compensation for this position is $91,000
• In addition to competitive salaries, the Simons Foundation provides employees with an outstanding benefits package.

Deadline: Rolling

Equal Employment Opportunity Statement

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