Desigon of fully quot;on the flyquot; reconfigurable sensor interfaces based on network of oscillators

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The availability of low-cost sensors and the development of 5G and 6G radios are responsible of a tremendous increase of the number of wireless sensor networks. It is highly necessary to design ultra-low power sensor interface ICs to limit the energy impact of such applications. One solution consists in placing Artificial Intelligence near the sensor (Edge-AI) to limit the transmission of useless information. In addition, the development of reconfigurable sensor interfaces ICs could help in decreasing the development cost of these applications. On top of that, getting solution of on-the-fly reconfigurable sensor interfaces could have a crucial impact on Edge-IA accuracy as it could bring the possibility to adapt the analog signal conditioning depending on the application context. The postdoc candidate will contribute to the design of a CMOS integrated circuit able to condition a large number of sensors and which will be fully reconfigurable in gain, bandwidth, and that will implement reconfigurable ADCs and or reconfigurable neural network. For that purpose, the postdoc candidate will work on time-domain sensor interfaces based on Injection Locked Oscillators (ILOs) that have been already demonstrated at CEA Leti. The post doc candidate will have to design and test an oscillator network and will have to demonstrate its low-power behaviour as well as its on-the-fly configurability by maping an ultra-low power key word spotting application. The postdoc will take place in laboratory LGECA of CEA which is dedicated to analog mixed design for sensors applications.

Ingénieur électronique + Thèse en conception circuit intégré analog-mixte

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