美国加州大学洛杉矶分校加州纳米系统研究所招收博士后
California NanoSystems Institute
Job Title: Postdoctoral research fellow position in the field of electrical engineering, materials, computer science, and mechanical engineering
Job Number: 4010291
Date Posted: 11/21/2011
Application Deadline: Open Until Filled
Job Description
Postdoctoral research fellow positions are available in Yong Chen’s group in the School of Engineering and Applied Science and California NanoSystems Institute (CNSI) at University of California, Los Angeles (UCLA).
Qualifications
Ph.D. with excellent academic achievements in the field of electrical engineering, materials, computer science, and mechanical engineering with research experiences in design and fabrication of electronic devices and circuits.
Project backgrounds
The goal of the project is to establish a physical intelligence unit (PIU) based on electronic neural circuits and a complex system. The project is led by Prof. Yong Chen at UCLA and supported by Defense Advanced Research Projects Agency.
A neurological system requires a tremendous amount of synapses (an estimated 10^14 in the human brain) for signal processing, memory, and learning. Si electronic circuits and/or programmable computers have had very limited success to date in the field of neurological control systems for one primary reason: the lack of low-cost and low energy consumption circuits that can emulate the essential properties of synapses. We are developing devices that can have the functions of synapses and are integrated with conventional Si MOS transistors. The devices can be reconfigured flexibly in analog mode by input signals. It integrates logic, memory, and learning functions that can fully emulate biologic synapses while only occupying a tiny fraction of the size of the smallest CMOS representation of a synapse.
We plan to explore electronic configurable ionic conductive materials and carbon nanotube based composites to achieve desired synaptic characteristics. The neural circuits will be built on a large number (>10^6) of low-power consumption, low-cost, and high-speed synaptic devices integrated with CMOS circuits, which enables the circuits to dynamically process signals from a large amount of distributed sensors (>10^8) in parallel, and make real-time dynamic interactions and decisions to reconfigure the sensors and actuators. We will design the circuits with dynamic reconfiguration and adaptation capabilities similar to biological neuronal circuit architectures. The sensory information from the sensors will be spatially mapped to the collective model in the circuits and aggregate locally to produce a topographical mapping of the sensory information. A multi-layer cortical network will provide the necessary processing functions and ultimately result in a robust control strategy for the actuator system.
Conditions
The University of California at Los Angeles (UCLA) is an exceptional research institution and an attractive and comfortable campus located in West Los Angeles. The postdoctoral positions are each for a period of one year, with the possibility for extension. The salary is competitive, and medical insurance is included.
Contact
Please submit your CVs to Mr. Stephen Obal (stephen.obal@gmail.com). Please do not contact Prof. Chen directly.
Contact: Yong Chen
California NanoSystems Institute
Los Angeles, CA 90095
United States
Phone: 310 206-2453
Email: stephen.obalgmail.com
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