We are developing brain machine interfaces capable of interacting (recording and stimulating) with neurons at scale and with high spatiotemporal resolution, achieved through micro/nano-fabricated microelectrode arrays and CMOS microelectronics circuits. The microelectrode arrays are custom fabricated in a range of form factor, ranging from penetrating silicon probes for deep brain recordings, to soft flexible arrays for low-invasiveness cortical surface recording. 

A key aspect of the project is component packaging. Namely, bringing together the electrode array and the CMOS circuit to create reliable electrical connections. Once the packaging step has been done, it is essential that we verify the quality of these connections and adjust the packaging strategy if needed. 

This project is tightly integrated with several nationally / internationally funded research within our team, with the goal of developing low-noise and low-power CMOS ICs for recording neural signals and for stimulating neurons.

School

Electrical Engineering and Telecommunications

Research Area

Brain machine interface | CMOS integrated circuits

  • This is a team project involving several researchers, graduate students, research assistants and thesis students, spanning Biomedical Engineering, and Electrical Engineering & Telecommunications
  • The ToR project will involve developing code (in python) and working with custom CMOS integrated circuits and electrode arrays we have developed in-house. You will also be involved in silicon chip testing using a probe-station in a cleanroom environment, using specialized characterisation equipment.
  • You should have a background in electrical engineering, comfortable with working on circuit boards, good at python, and have some exposure to microprocessor architectures. Good hand dexterity with working in very small devices would be a plus.
Senior Lecturer David Tsai
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