[CapoCaccia - announce] Two Postdoc Positions in Async Network-on-Chip (NoC) Design -- Last Call!

[Kwabena Boahen]

Dear Async Colleagues,

Two postdoctoral researcher positions are available in Andreas Andreou’s group<http://andreoulab.net/> (JHU) and Kwabena Boahen’s group<https://web.stanford.edu/group/brainsinsilicon/index.html> (Stanford). We appreciate your help in getting the word out.

Our Northrop Grumman-led team is designing a 3D-integrated imager-processor system, funded by DARPA’s FENCE<https://www.militaryaerospace.com/sensors/article/14184786/electrooptical-sensors-machine-learning> program. Imager pixels and processor cores are on separate chips. These two chips are stacked with a through-silicon-via (TSV) for each pixel signal. A bit-serial NoC routes pixel-produced events to cores. A bit-parallel NoC routes data between cores. Both NoCs are asynchronous.

This project builds on work our groups published on 3D imager-processor integration<https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7028244>, a bit-parallel interchip network<https://web.stanford.edu/group/brainsinsilicon/documents/MerollaEtAlRouterFinal.pdf>, and a bit-serial NoC<https://web.stanford.edu/group/brainsinsilicon/documents/serial-h-tree.pdf>.

The ideal candidate should have a PhD in EE or CS, and experience designing, taping out, and characterizing an asynchronous system-on-chip. Previous experience in event-based imaging and/or processing is preferred but not required. The position would ideally start as soon as possible (Summer 2021).

To apply, please send a CV, a research statement, and contact information for three references to andreou at jhu.edu<mailto:andreou at jhu.edu> and boahen at stanford.edu<mailto:boahen at stanford.edu>, with the subject “FENCE Postdoc Application”. Applications will be reviewed on a rolling basis until the position is filled.

Warmest regards
Kwabena Boahen (and Andreas Andreou)
- - - - - - - - - - - - - -
Director, Brains in Silicon<https://web.stanford.edu/group/brainsinsilicon/> Lab
Investigator, Bio-X Institute and Wu Tsai Neurosciences Institute
Professor, Bioengineering, Electrical Engineering and, by courtesy, Computer Science
Stanford University Schools of Medicine and Engineering
650 724 5633 (W) / 650 787 5966 (C)
How to build a super-efficient super-computer<https://engineering.stanford.edu/magazine/article/kwabena-boahen-how-build-super-efficient-super-computer> [25 min interview]
The Future of Computing: 3D Silicon Brains<https://www.youtube.com/watch?v=cYpr0xzNuLk> [20 min talk]
Brain-Like Computer Chips for AI<https://www.youtube.com/watch?v=lVQnsDSBpjI> [1 hr talk]
















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