PhD/PD positions in low-power event-driven compute-aware continual learning networks

We have two open positions in the Sensors Group (http://sensors.ini.uzh.ch/) for an exciting new project on designing event-driven compute-aware continual-learning deep network algorithms and integrated circuits for edge applications. Each position will be filled either by a PhD student or Postdoc. Postdoctoral positions are for 1 year with possible extension for a 2nd year. Starting date to be discussed.

Requirements

For the first position, the phd candidate should have strong knowledge of signal processing and deep networks; and is comfortable with hardware and deep learning tools. The postdoctoral candidate should have performed their thesis work or on an extended project on a deep learning topic preferably on audio.
For the second position, the phd/postdoc candidate should have a strong background in hardware accelerator design, either ASIC or on FPGA and completed an extended project on this topic. The PhD candidate should have taken classes in VLSI design, have systems knowledge, and performed analog or digital ASIC design in a prior project. Salary is according to the guidelines of the Swiss National Science Foundation. Postdoctoral applicants should have a doctoral degree in an engineering /computer science-related discipline.

Contact

Interested applicants should send a statement of interest, CV, transcripts and 2 reference letters to shih (at) ini.uzh.ch  with subject line containing the words “Application for CA DNN edge position”. Deadline for applications is Sep 15, 2022, or until the position is filled.

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