Postdoctoral Researcher
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- $49,615 - $63,131 a year
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- Full-time
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- Monday to Friday
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Postdoctoral position in Neuromorphic, Neuroinspired Computing
University of California, San Diego
Department of Electrical and Computer Engineering
Postdoctoral position is available for interested recent PhDs or postdocs. The position requires a PhD in Electrical Engineering.
The position will focus on development of new neuromorphic computing paradigms based on novel device technologies. Previous experience in two of below areas is required;
1)nanoscale device fabrication, 2)on chip integration, 3)neuromorphic circuits, 4)neural network models and machine learning algorithms.
This position will provide a great opportunity to EE PhDs to expand their research interests into various new computing applications and gain experience in design, development of new neuromorphic computing approaches in an interdisciplinary research group. Recent examples of our work:
Energy-efficient Mott activation neuron for full-hardware implementation of neural networks, Nature Nano Technology, 2021
https://www.nature.com/articles/s41565-021-00874-8
High Throughput Neuromorphic Brain Interface with CuOx Resistive Crossbars for Real-time Spike Sorting, IEEE IEDM, 2021
https://ieeexplore.ieee.org/document/9720712
We are looking for highly self-motivated and independent scholars with a passion for technology and computing. The position will provide a unique interdisciplinary training for the fellow and opportunity to closely collaborate with researcher from UCSD Electrical Engineering and Neuroscience. The fellow will work under the supervision of Professor Duygu Kuzum (http://neuroelectronics.ucsd.edu/ ). The fellow is expected to work well in a collaborative environment and also supervise PhD and masters students involved in the project. The expected starting time is Fall or Winter 2022.
Interested candidates should submit a CV, a cover letter, and a list of 2-3 references electronically to Professor Duygu Kuzum (dkuzum AT ucsd.edu).
Job Type: Full-time
Pay: $49,615.00 - $63,131.00 per year
Schedule:
- Monday to Friday
Work Location: In person