Neuromorphic and AI Hardware Postdoctoral Associate Job Description: Neuromorphic computing and artificial intelligence (AI) systems are rapidly appearing in a wide range of devices and systems. Current Von Neumann based computing architectures are not well suited towards these computing approaches. The Cady research group at SUNY Polytechnic Institute has developed hybrid memristor / CMOS technology that can be used for neuromorphic synapse encoding, logic-in-memory, and high-density matrix-based computing applications. Using SUNY Poly's state of the art nanofabrication and testing facilities, we continue to develop new memristive devices, device architectures, and unique circuits for neuromorphic and AI applications. This post doctoral position will leverage our ongoing work to develop unique neuro/AI hardware and circuit solutions, and will expand our efforts to implement these approaches for solving real-world problems. Existing projects in the Cady research group are funded by both federal grants and industry partnerships, all with the focus of radically improving device-level and system-level hardware for neuromorphic and AI computing. Candidates for this position must hold a PhD in electrical engineering, computer engineering, physics, or related field and should have expertise in nanoelectronic devices, circuit design, circuit simulation, device fabrication, and electrical testing. Candidates should demonstrate excellent writing and verbal communications skills, as well as mentorship and leadership abilities. Other reasonable duties as assigned. Requirements: MINIMUM REQUIREMENTS Candidates for this position must hold a PhD in electrical engineering, computer engineering, physics, or related field from college or University accredited by the US Department of Education or internationally recognized accrediting organization and should have expertise in nanoelectronic devices, circuit design, circuit simulation, device fabrication, and electrical testing. Provide leadership, oversight and direction to direct reports to assure goals, programs, activities, and personnel practices are consistent with and contribute to the Institution's goals and strategies. Design and implement operating strategies, plans and procedures to assure smooth functioning of SUNY Poly's Nanobioscience Department. Lead employees for maximum performance and dedication. Complete performance management feedback and goals per requirements. Applicants must address in their applications their abilities to work with a culturally diverse population. This position is contingent on the satisfactory completion of a background check; this position may require annual checks. https://sunypoly.interviewexchange.com/jobofferdetails.jsp?JOBID=116501 Thank you, Nate ----------------------------------------------------------------------- Nathaniel C. Cady, Ph.D. Empire Innovation Professor College of Nanoscale Science & Engineering SUNY Polytechnic Institute 4405 NanoFab East 257 Fuller Road Albany, NY 12203