Working closely with Dr. Karl Deisseroth and a team of neuroscientists and computational researchers in the Deisseroth Lab , the Systems Engineer will play a pivotal role in designing and implementing hardware systems and data processing pipelines for large experimental and theoretical projects that enhance neuroscience research. Systems Engineer will assemble hardware acquisition systems, verify and organize large data archives, and aid in the development of software tools for processing disparate data types and performing large-scale statistical analysis. The engineer will focus on creating high-precision neural interface hardware specifically for the Human Neural Circuitry (HNC) program, making critical decisions regarding hardware material selection, circuit design, and integration with existing lab infrastructure. The objective is to develop robust, high-bandwidth data acquisition platforms that facilitate the study of cortical network dynamics in decision-making and sensory processing, electrophysiological signatures of neuropsychiatric disorders, and next-generation neuromodulation techniques for therapeutic interventions.
By ensuring that cutting-edge neuroscience experiments are supported by state-of-the-art hardware, the Systems Engineer will contribute significantly to advancing our understanding of the brain and its functions.
Core Duties
Desired Qualifications
Education & Experience (required)
Bachelor’s degree and five years of relevant experience, or a combination of education and relevant experience.
Knowledge, Skills And Abilities (required)
Certifications & Licenses
None
PHYSICAL REQUIREMENTS*:
Working Conditions
May work extended hours, evening, and weekends.
The expected pay range for this position is $138,402.00 to $163,985.00 per annum (within the 10 Bay Area counties) or $83,041.00 – $163,985.00 per annum (all other regions).
Its good faith estimate of the salary or hourly wage the university reasonably expects to pay for a position upon hire. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location, and external market pay for comparable jobs.
At Stanford University, base pay represents only one aspect of the comprehensive rewards package.
WORK STANDARDS (from JDL)
Additional Information
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