POSITION SUMMARY

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)

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/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.

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.

Our Commitment to Expanding Pathways to Science & Opportunities for All:
Many of the greatest ideas and discoveries come from a diverse mix of minds, backgrounds, and experiences. The Simons Foundation is committed to advancing basic science and mathematics to benefit humankind and expand our collective understanding of our world. As part of our mission, we support partners, programs, and initiatives that seek to broaden the scientific community and open pathways to science and mathematics careers. The Simons Foundation provides equal opportunities to all applicants without regard to race, religion, color, age, sex, pregnancy, national origin, sexual orientation, gender identity, genetic disposition, neurodiversity, disability, veteran status, or any other protected category under federal, state, and local law. #LI-DNI

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