Multiple Openings for Post-Doc, Research Assistant and PhD student in Neuromorphic, In-memory computing IC design using SRAM/RRAM (application to LSTM/SNN for Keyword spotting)

 

There are multiple openings for Post-doc, Research Assistant and PhD students for a new project on In-memory Computing in the group of Professor Arindam Basu, Department of Electrical Engineering, City University of Hong Kong.

The focus of the project will be on in-memory computing implementations of neuromorphic algorithms for the application of LSTM/SNN for Keyword spotting using SRAM with extension to RRAM. In particular, novel In-memory ADC for nonlinear functions will be designed to push the state of the art.

 

The candidate should have experience in doing analog/mixed-signal IC design with preference for experience in memory design. For Post-doctoral positions, experience with IC tapeout and measurement is a must. The maximum monthly salary allowance is HK$20,000 for research talents with a bachelor degree, HK$23,000 for those with a master degree, and HK$35,000(+10,000$ living allowance) for those with a doctoral degree. https://www.itf.gov.hk/en/funding-programmes/nurturing-talent/research-talent-hub/research-talent-hub-for-itf-projects-rth-itf-/index.html

 

Exceptional candidates can also be involved in other In-memory computing systems for the following applications: (1) Signal processing and compression in Brain-machine interfaces (2) Processing event-based video from Dynamic Vision Sensors in Autonomous driving. Candidates will get an opportunity to work on cutting-edge research with recent papers from the group published in top conferences like A-SSCC 2021, CICC 2022 and top journals like JSSC. Examples of recent work from our group in this direction:

>> S. K. Bose, D. Singla and A. Basu, “A 51.3 TOPS/W, 134.4 GOPS In-memory Binary Image Filtering in 65nm CMOS” IEEE Journal of Solid-State Circuits (JSSC), 2021.

>> S. K. Bose and A. Basu, “A 389 TOPS/W, always ON Region Proposal Integrated Circuit using In-Memory Computing in 65nm CMOS,” IEEE Journal of Solid-State Circuits (JSSC), 2022.

>> X. Zhang and A. Basu, “A 915-1220 TOPS/W, 976-1301 GOPS Hybrid In-Memory Computing Based Always-On Image Processing for Neuromorphic Vision Sensors” Journal of Solid-State Circuits (JSSC), vol. 58, no. 3, 2023.

>> S. K. Bose and A. Basu, “A 389 TOPS/W, 1262fps at 1Meps Region Proposal Integrated Circuit for Neuromorphic Vision Sensors in 65nm CMOS” IEEE Asian Solid-State Circuits Conference (A-SSCC), Busan, South Korea, 2021.

>> X. Zhang and A. Basu, “A 915–1220 TOPS/W Hybrid In-Memory Computing based Image Restoration and Region Proposal Integrated Circuit for Neuromorphic Vision Sensors in 65nm CMOS,” IEEE Custom Integrated Circuits Conference (CICC), 2022.

>> A. Basu, L. Deng, C. Frenkel and X. Zhang, “Spiking Neural Network Integrated Circuits: A Review of Trends and Future Directions,” IEEE Custom Integrated Circuits Conference (CICC), 2022.

 

Interested candidates should send their CV to arinbasu@cityu.edu.hk with details about their academic record as well as IC design experience. Shortlisted candidates will be interviewed. Applications are welcome year-round until the positions are filled. Thank you and look forward to working with you!

 

Prof. Arindam Basu

Department of EE

City University of Hong Kong

(More information about the PI and the lab can be found here:

https://www.cityu.edu.hk/stfprofile/arinbasu.htm

https://scholar.google.com/citations?user=Ton5pYMAAAAJ&hl=en

https://sites.google.com/view/brainsyslab/home

)