Postdoc position: Ultrasonic based wireless electrical neural interface technology

Nov 05, 2019
Dec 05, 2019
Organization Type
University and College
Full Time
BrainTech lab

The BrainTech lab is an INSERM team focusing on neural technology. It works on the development of neural rehabilitation tools and has an expertise ranging from designing micro-implants to real time signal analysis. The team is currently involved in several European projects with an emphasis on speech rehabilitation.

Context and objective

The development of intracortical neural prostheses offers new rehabilitation perspectives for patient suffering from loss of sensory and/or motor functions. However, current implantable technologies cannot be transferred from research prototypes to efficient therapeutical devices mainly because of major limitations of the implants such as high footprint, poor long-term stability, high complexity of the surgery and high risks of infections.

Most of these limitations are intrinsically linked to the wires that connect intracortical recording/stimulation sites to outside electronics, crossing the dura matter, skull and skin. These problems could be overcome using novel fully wireless technologies with thousands of micrometer-scale sensors [1][2]. The aim of the project is to develop such a new disruptive technology with ultra-small and battery less neural microsensing units communicating thanks to ultrasonic transduction.

Description of the work

This position first aims at fabricating the microsensors in clean room environment. After the fabrication, the candidate will evaluate the electrical and acoustic performances of the microsensing unit using a new custom set up combining impedance spectroscopy, laser vibrometry and large band ultrasonic transducers. The candidate will participate to the development and optimisation of the custom set up. The third phase of the project will consist in assessing the efficiency of both the set up and the microsensors array for in vivo recording on the rat and minipig cortex. In this phase, the candidate will participate to the recording experiment and optimise the set up for neural recording applications.

Duration: 2 years

Team website:

(An additional website of the wireless neural interface team will be released in september 2019)

1 Leung et al, A CMOS distributed Sensor System for High-Density Wireless Neural Implants for Brain-Machine Interfaces, IEEE ESSCIRC, 2018

2 Seo et al, Model Validation of untethered, ultrasonic neural dust motes for cortical recording, J.of Neur. Meth., 2015

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