Open PhD/Postdoc position in event-driven deep network system for intelligent continual learning edge and visual neuroprosthesis

We have two positions in the Sensors Group for an exciting new project on designing event-driven continual-learning deep network algorithms and hardware implementations for intelligent 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. 

We also have a doctoral position for an ongoing European-Union funded NeuraViPeR project on developing a visual prosthesis.

Requirements

The candidate for  the algorithms position 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.

The candidate for the hardware position should have a strong background in hardware deep network 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. Interested applicants should send a statement of interest, CV, transcripts and 2 reference letters to shihatini.uzh.ch  with subject line containing the words “Application for CA DNN edge position”. Deadline for applications is Mar 15, 2023, or until the position is filled.