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These postdoc researchers will work in Prof. Vanessa Chen’s Energy-Efficient
Circuits and Systems (EECS) Laboratory at Carnegie Mellon University
(Pittsburgh, PA). (https://research.ece.cmu.edu/~eecs/ )
The position is initially for at least 12 months with the possibility of
renewal. Compensation will be competitive, and commensurate with relevant
experience. (Average 65K USD) CMU has competitive benefits (including
comprehensive medical insurance) and is an equal opportunity employer.
APPLICATION
Interested candidates should send a CV, expected date of availability,
selected publications, and the contact information of two references to Prof.
Chen ([email protected]).
DESCRIPTION
Two Positions are available:
(1) RF/Mixed-Signal IC Design
What you will be doing:
- Design high-performance interface circuits.
Requirements:
- Tape-out experiences in RF/analog/mixed-signal circuits
- Strong background in transistor-level circuit design of DACs, ADCs, and
PLLs.
- Fluency in concepts related to noise, system stability, linearity, and
digitization.
- Experience with RF/MMwave circuits and EM analysis
Highly Desired:
- Familiar with high-speed testing
(2) FPGA-based machine learning accelerators:
What you will be doing:
- Design prototype FPGA accelerators for scalable and compute/power efficient
deep learning inferencing.
- Build brain-inspired machine learning infrastructures for wireless sensing
applications.
Requirements:
- Strong C/C++ and Python programming skills and HDL design experience.
- Strong background in computer architecture (good understanding of hardware
and software concepts and interfaces.)
- Experience with Deep Learning.
Highly Desired:
- Strong background in data structures and algorithms.
- Hands-on experience with ARM SoCs and Embedded system hardware.
- Experience with FPGA or ASIC development projects.
- Familiar with ML or DL frameworks (PyTorch, Keras, or Tensorflow).