News : Technological challenges

January 01 2023

Auto-adaptive neural decoder for clinical brain-spine interfacing

CEA/LETI/CLINATEC invite applications for postdoctoral position to work on the HORIZON-EIC project. The project goal is to explore novel solutions for functional rehabilitation and/or compensation for people with sever motor disabilities using auto-adaptive Brain-Machine Interface (BMI) / neuroprosthetics. Neuroprosthetics record, and decode brain neuronal signal for activating effectors (exoskeleton, implantable spinal cord stimulator etc.) directly […] >>

January 01 2023

Optomechanical force probes development for high speed AFM

The proposed topic is part of a CARNOT project aiming at developing a new generation of force sensors based on optomechanical transduction. These force sensors will be implemented in ultrafast AFM microscopes for imaging and force spectroscopy. They will allow to address biological and biomedical applications on sub-microsecond or even nanosecond time scales in force […] >>

January 01 2023

DTCO analysis of MRAM for In/Near-Memory Computing

The energy cost associated to moving data across the memory hierarchy has become a limiting factor in modern computing systems. To mitigate this trend, novel computing architectures favoring a more local and parallel processing of the stored information are proposed, under the labels « Near/In-Memory Computing » or « Processing In Memory ». Substantial benefits […] >>

January 01 2023

Atomic layer growth of 2D thin films for RF-switches

In the Leti campus, the silicon technology division aims to define, develop, and process materials for advanced electrical device integration. In particular, we are studying advanced thin film deposition, on vacuum equipment and at angstrom scale. This post-doctoral position is part of a project including multiple French laboratories; the objective is to explore the applicative […] >>

January 01 2023

Ultrasonic predictive maintenance

As part of the development of its research activities on sensor networks and predictive maintenance, the Autonomy and Sensor Integration Laboratory (DSYS/SSCE/LAIC) of CEA-LETI in Grenoble, France, is offering a thesis on “Ultrasound-based predictive maintenance”. Ultrasound emission is one of the first signs of ageing in an industrial system, before the appearance of vibrations, noise […] >>
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