The mission of the Center for Computational Neuroscience (CCN) at the Simons Foundation’s Flatiron Institute is to develop theories, models, and computational methods that deepen our knowledge of brain function — both in health and in disease. CCN takes a “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. CCN currently has research groups in computational vision, neural circuits and algorithms, neuroAI and geometry, and statistical analysis of neural data; interested candidates should review the CCN public website for specific information on CCN’s research areas.
CCN invites applications for paid summer internships by graduate or advanced undergraduate students in physics, electrical engineering, machine learning, computer science or related fields. Knowledge of neuroscience is helpful but not required. Research topics will be based on interests of Center investigators, and include computational vision, neural circuits and algorithms, neuroAI and geometry, statistical analysis of neural data, and related topics.
CCN interns are invited to participate as full members of the CCN and Flatiron communities during their internship; CCN interns are assigned a primary mentor and research group within the center, are invited to attend and present within their research group’s meetings, and are also invited to participate in meetings of CCN’s other research groups as well as center- and Flatiron-wide activities such as guest lectures, training on use of the Institute’s robust scientific computing resources, and intern social activities. Finally, interns will be invited to present their work at an Institute-wide symposium held at the end of the internship period.
Applicable travel assistance to New York City and a supported temporary housing option may be available to interns based outside of New York City.
- Reporting to the assigned mentor in the CCN, the projects will involve analysis of neuroscience data and modeling networks, applying the skills of analytical calculations and computer programming
- Perform any other duties or tasks as assigned or required
- Candidates should be enrolled in an undergraduate or graduate degree program majoring in electrical engineering, physics, computer science or related field.
- Experience with research projects in electrical engineering, computer science physics or related fields is helpful.
Related Skills & Other Requirements
- The successful applicant should have experience with programming in Matlab, Python, or C
- The applicant should have satisfactorily completed Cal III and Linear Algebra
- The applicant should have experience with basic optimization and machine learning techniques
- Elementary knowledge of neuroscience is helpful
Intern Semesters and Deadlines
- Summer semester: June 1 to August 12
- Deadline to apply: February 25, 2022
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