Marie Skłodowska-Curie Actions

MSCA-PF: Joint application at IMSE-CSIC

    10/09/2021 13:30 - Europe/Brussels
    HE / MSCA
    Spain, SEVILLA
    Instituto de Microelectronica de Sevilla
    Neuromorphic Group

The Instituto de Microelectrónica de Sevilla (IMSE-CNM – Seville Institute of Microelectronics) is an R&D&I joint center of the Agencia Estatal Consejo Superior de Investigaciones Científicas (CSIC - Spanish National Research Council) and the Universidad de Sevilla. Together with its counterpart institutes in Barcelona and Madrid, it forms part of the Centro Nacional de Microelectrónica (CNM - National Microelectronics Center).

The IMSE Institute is dedicated to the field of Physical Science and Technologies, one of the eight areas into which research activity is divided by the CSIC. Its main area of specialization is the design of CMOS analog and mixed-signal integrated circuits and their use in different application contexts such as neuromorphic systems, artificial vision, cybersecurity, space applications, biomedical systems, radiofrequency, microsystems or data conversion, exploiting micro and nanotechnologies as well as emerging devices

About the host group:

The IMSE Neuromorphic group targets the development of brain inspired artificial systems able to emulate the sensing and cognitive capabilities of biological beings.

The IMSE Neuromorphic group has focused on developing intelligent, high-speed, low power artificial vision systems. The group focuses mainly on event-driven (spiking) frame-free vision systems, developing sensing retinas for spatial or temporal contrast (such as DVS – Dynamic Vision Sensors), as well as event-driven convolution processors, which allow to assemble for example large scale spiking “Convolutional Neural Networks” for high speed object recognition. These chips and systems use AER (Address Event Representation) communication techniques.

Developed chips use analog, digital or mixed signal techniques, low current, and/or low power, as well as high speed communication techniques. The group has also developed event-based processors on digitally programmable devices as FPGAs, as well as multi-chip and hybrid chip-FPGA systems to scale up to higher complexity systems.

The group also works on algorithms and sensory processing for spiking information sensing, coding and processing. In particular, the group has proposed the implementation of on-line spike-timing-depent-plasticity learning circutis exploiting emergent nanoscale technologies or new devices like memristors (EU NABAB project , PNEUMA project, NEURAM3 project, MEM-SCALES, NeurONN, Aprovis3D, SpinAge).

Specific objectives:

The group has contributed to the following specific areas:

  • Artificial bioinspired asynchronous event driven vision sensors
  • Asynchronous event driven convolution processors
  • Modularly assembled event-based sensing and procsessing systems
  • Learning with Spike-Timing-Dependent Plasticity
  • Use of emerging nanodevices as adaptable learning synaptic devices
  • Analog design of low power and/or low current circuits and blocks for neuromorphic systems
  • Calibration techniques for analog computing circuits

Research areas for project:

  • Microchip (ASIC) analog and mixed-signal design of Event Cameras, Spiking Neural Network Processors, and learning systems
  • Memristor based neuromorphic circuits and chips
  • FPGA-based neuromorphic processing and learning
  • SpiNNaker and Loihi platforms
  • Computational and learning aspects of spiking neural networks.

Group Web-page: www.imse-cnm.csic.es/neuromorphs/

Supervisor: Dr. Bernabé Linares Barranco.

Bernabe Linares Barranco, Personal Homepage (csic.es)

If you would like to apply for an MSCA-PF and you are interested in the indicated research lines, contact us.



The responsibility for the hosting offers published on this website, including the hosting description, lies entirely with the publishing institutions. The application is handled uniquely by the employer, who is also fully responsible for the recruitment and selection processes.