News : Engineering sciences
January 01 2023
Design and fabrication of the magnetic control of 1.000 qubits arrays
Quantum computing is nowadays a strong field of research at CEA-LETI and in numerous institutes and companies around the world. In particular, RF magnetic fields allow to control the spin of silicon qubits, and pathway for large scale control is a real technological challenge. The bibliographic analysis and the studies already carried out will able […] >>
January 01 2023
Development of artificial intelligence algorithms for narrow-band localization
Narrowband (NB) radio signals are widely used in the context of low power, wide area (LPWA) networks, which are one of the key components of the Internet-of-Things (NB-IoT). However, because of their limited bandwidth, such signals are not well suited for accurate localization, especially when used in a complex environment like high buildings areas or […] >>
January 01 2023
Antiferroelectric materials by ALD for MAFM capacitors
The post-doctoral researcher will focus on the investigation of AFE layers based on HfO2 and/or ZrO2 obtained by ALD (Atomic Layer Deposition), which will be able to work as high-k dielectrics for high-density antiferroelectric (AFE) capacitances (>20 J.cm-3). For understanding and optimizing the AFE capacitances, it is mandatory to relate the structural, micro-structural and chemical […] >>
January 01 2023
Cryo-CMOS electronics: Thermal and strain effects in FDSOI MOSFETs down to very low temperature
In the context of the development of the cryo-electronics, i.e. the extension of operation of digital or analog electronics to cryogenic temperatures, down to a few tens of mK, in particular for quantum applications, the aim of the post-doctoral project is to continue the effort of modeling and characterization of the FDSOI technology at low […] >>
January 01 2023
Neural signal decoding for clinical Brain Spine neuroprosthesis
The postdoctoral project will be carried out at CEA/LETI/CLINATEC, in collaboration with EPFL (Lausanne, Switzerland) within the frame of multidisciplinary Brain-Machine Interface program. The program goal is to explore novel solutions for functional rehabilitation and/or compensation for people with sever motor disabilities using neuroprosthetics. Neuroprosthetics record, and decode brain neuronal signal for activating effectors (e.g. […] >>


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