Position: Research Scholar: Robotics and Automation

Description: Research Scholar: Robotics and Automation The Seung lab at the Princeton Neuroscience Institute is searching for an accomplished scientist and engineer to lead R&D efforts on technologies for acquiring nanoscale volumetric images of brain tissue. This will include projects on robotic collection of ultrathin serial sections and automated high-throughput imaging. The scientist will manage engineering teams, oversee hardware-software integration, and foster team leadership and development within a multidisciplinary environment. Key Responsibilities: -Lead Advanced Research Projects: Develop and oversee research projects focused on robot manipulation, including perception, pick-and-place, control system, path planning, and hardware integration. -Manage Engineering Teams: Direct and coordinate engineering teams in the design, development, and implementation of autonomous robotic systems. -Oversee Integration: Supervise the integration of hardware and software components to create reliable and scalable autonomous systems. -Team Leadership: Lead, mentor, and develop a multidisciplinary team of engineers and researchers, fostering a collaborative and innovative work environment. Essential Qualifications: -Ph.D. in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a related field. -Outstanding track-record of hands-on robotics and automation experience. -A minimum of 8 years of relevant post-Ph.D. experience. -At least 3 years of experience as an academic research manager or equivalent role. -A strong publication record. -Excellent communication and interpersonal skills, with the ability to inspire and motivate a diverse team. Preferred Qualifications: -Experience in research-to-product commercialization. -Demonstrated experience with computer vision systems and their integration with robotic platforms. -Proven experience in developing high-performance computing applications for real-time data processing. -Experience with large-scale automation projects, particularly those involving delicate or complex tasks. -Familiarity with electron microscopy techniques and associated hardware. -Strong background in system engineering and project management within a multidisciplinary research environment. -Experience in managing large research grants. Interested applicants must apply at https://puwebp.princeton.edu/AcadHire/position/36104 and include a cover letter, curriculum vitae, and contact information for at least two references. Applications from members of groups historically under-represented in Neuroscience are encouraged. Princeton University is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. These positions are subject to the University's background check policy.

PI249567657

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