News : Technological challenges
January 01 2023
Design of 2D Matrix For Silicum Quantum computing with Validation by Simulation
The objective is to design a 2D matrix structure for quantum computing on silicon in order to consider structures of several hundred physical Qubits. In particular the subject will be focused on: – The functionality of the structure (Coulomb interaction, RF and quantum) – Manufacturing constraints (simulation and realistic process constraint) – The variability of […] >>
January 01 2023
Development of large area substrates for power electronics
Improving the performance of power electronics components is a major challenge for reducing our energy consumption. Diamond appears as the ultimate candidate for power electronics. However, the small dimensions and the price of the substrates are obstacles to the use of this material. The main objective of the work is to overcome these two difficulties […] >>
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 […] >>


Contact us
How to find us






