In this project, we explore the full range of digital and analog computational approaches to design ultra-low-power spiking neural network integrated circuits. The goal of this project is to move silicon systems one order of magnitude better in energy efficiency, when tasked with various AI benchmarks.
This is a team project with several graduate students. The successful applicant will make research contributions and mentor graduate students.
Glenn Cowan’s research group is active in wireline communication and mixed-signal design for avionic, biomedical, computational and communications applications.
Academic qualifications required
PhD in Electrical Engineering, with a track record of integrated-circuit (IC) design and testing. The ideal candidate has designed mixed-signal integrated circuits for machine-learning applications and has an interest in neural-network algorithms, however, IC design experience in mixed-signal or wireline communication will be considered.
Timeline and application process
The Postdoctoral Fellow must start his/her appointment by December 31, 2019.
All documents must be submitted to Niyusha Samadi (Horizon.Postdocs@concordia.ca)
Please include the reference number 6006 with your application
One to three (1-3) page research statement demonstrating fit with the program described above.
Current curriculum vitae demonstrating research excellence and a capacity for leadership in the domain (maximum 5 pages).
Two letters of reference from academic supervisors or current employers to be sent via e-mail directly to Niyusha Samadi. Horizon.Postdocs@concordia.ca
The prestigious Horizon Postdoctoral Fellowships are valued at $47,500 per year plus benefits