Ressources matérielles et logicielles
Offres - Recrutement
Postes (IGR, EC, etc.)
/ Researcher position
of brain-inspired computing with self-organizing neuromorphic architectures
position (3 years) is available at LEAT lab (UMR CNRS 7248, Sophia Antipolis,
France) in collaboration with the Neuroscience and Cognition research center
C@UCA to study the mechanisms underlying neural self-organization and their
transposition on neuromorphic hardware.
The post-doc project is a part of an international collaborative project
recently awarded by the ANR (International Collaborative Research Project
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Places: LEAT Lab, Campus SophiaTech, 930 route des Colles, 06903 Sophia
Antipolis, France and training program Mod4NeuCog, 1645 Route des Lucioles,
06410 Sophia Antipolis, France.
Duration: 3 years with the perspective of a long-term career development
Employment, payment and social benefits are determined by CNRS
Contact: Candidates should send their CV, motivation letter, list
of publications and 2 letters of reference to Prof. Benoît Miramond
and Dr. Alexandre Muzy (email@example.com).
- Post-doctoral position on Self-Organizing
offer is proposed as part of the ANR project SOMA led by LEAT.
The posdoc will take place in the Institute of Information Technologies
(InIT) in Geneva, Switzerland.
The goal is to design a neural-based self-organized hardware architecture
based on dynamically reconfigurable FPGA devices.
is valid for one-year, and can be re-conducted for two more years.
• Participation on an international collaboration project
• Design and implementation of an heterogeneous self-organizing
bio-inspired computing platform.
• Development of computation accelerator cores on FPGAs.
• Active participation on scientific paper writing.
To apply, please submit a cover letter, CV, and
at least one letter of reference addressed to: firstname.lastname@example.org
- PAPIoT: Position and Activity
Monitoring Platform based on IoT Technology
The objective is the realization of a prototype of a wearable device enabling
the monitoring of elderly people during their everyday activities based
on Internet-of-Things (IoT) technologies.
The device will enable hybrid (outdoor and indoor) localization,
allowing elderly people to be localized in case of emergency (e.g. typical
case of an old person suffering of Alzehimer’s disease who gets lost in
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