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Rockefeller University Engineer, Neurotechnology and Biophysics in New York, New York

Job: IRC25453


Job Title Engineer, Neurotechnology and Biophysics

Laboratory / Department Neurotechnology and Biophysics

Department Description

The emergence of new optical technologies combined with molecular sensors and advanced computational tools has led to significant advances in understanding how the circuitry and dynamics of neuronal populations give rise to brain functions and behavior. The Laboratory of Neurotechnology and Biophysics (LNB) has a significant focus on developing and applying advanced optical imaging technologies with applications for systems neuroscience. Over the last few years, the lab has developed a portfolio of optical techniques that allow near-simultaneous stimulation and functional imaging of neuronal activity on the whole-brain level at the single-cell level in small model organisms and more recently in the more scattering rodent brain.

Detailed Description

The Engineer will consolidate a number of the optical neurotechnologies in our laboratory to support the development of alpha and beta prototype microscopes in collaboration with our industrial partners and to drive the broader dissemination of our technologies. Responsibilities include the development and optimization of new high-speed optical methods for large scale recording of neuronal population activity, optimization and dissemination of computational imaging techniques, and imaging in and through scattering media.


Job Requirements

Bachelor's degree in science required; Master's degree or Ph.D. preferred. Educational emphasis in physics, optical engineering or related area and a minimum of two years of work experience in a scientific or industrial research environment required. Must have basic programming skills, including Matlab, Python, LabView, and/or CAD. Experience in optical modeling and simulations, ultrafast laser systems, fiber optics, mechanical design, mechanical fabrication skills, RF electronics and electronics design, optomechanical hardware control (LabView, FPGA), large-scale data processing, and/or cluster computing highly desirable. Must have excellent time management and communication skills and the ability to effectively work in a team environment between academia and industry, as well as a willingness to work outside of core expertise. Must be highly results-oriented, motivated, ambitious, and passionate about science.

Additional Details

The Rockefeller University is an Equal Opportunity Employer - Minorities/Women/Disabled/Veterans