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Stanford University
Stanford, CA, United States
Source: Stanford University careers · View original posting
From Stanford University's posting. “We” and “our” refer to the employer.
We are seeking an Engineer Associate with strong mechanical engineering and mechatronic design skills to develop next generation robotic hardware and intracortical brain-interfacing technology. Our team is working to understand the neuroscience of intelligence, and mechatronic systems are critical to the depth and scale of our experimental ambitions. The ideal candidate will play an essential role in developing unique robotic systems that enable physical interactions within virtual environments.
They will also prototype mechatronic microassembly processes that facilitate lightweight, highly scalable, precisely controlled neural interfaces, enabling the team to record neural activity and understand the brain at unprecedented scale.
This role is ideal for individuals who thrive at the rapidly evolving interface of neuroscience, engineering, software development, and artificial intelligence, and want to contribute to a uniquely interdisciplinary effort. This position is embedded within a vibrant team of neuroscientists, engineers, and software developers led by Andreas Tolias ( toliaslab.org
) and collaborators.
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Develop backdrivable robotic manipulanda that enable physical interactions (grasping, object manipulation, and pick and place) within software-defined virtual environments
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Develop modular systems for neural recordings and animal behavior experiments, as well as scalable approaches to automate assembly of these systems
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Design or integrate new approaches to miniaturized linear actuation and control, e.g., via piezoelectric motors, and online monitoring systems, e.g. via embedded cell-phone cameras and real-time, closed-loop computer vision software.
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Maintain design libraries and documentation for versioning, reproducibility, and team collaboration
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Collaborate closely with systems engineers and researchers to find creative solutions to evolving experimental needs
The expected pay range for this position is $132,996 to $157,641 per annum.
Stanford University provides pay ranges representing 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. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards) provides detailed information on Stanford’s extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.
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