Photonic and optomechanic platform for ultrafast efficient neuromorphic computing
OPEN POSITION
APPLICATION ID: ALL9
What we are looking for:
We are seeking innovative research proposals that explore novel photonic and optomechanical interactions capable to embody photonic neural activation functions to implement neural networks.
The context:
The goal of this project is to set the theoretical basis for the use of photonic and optomechanical interactions for novel neural networks and novel device designs in collaboration with experimental partners. Partial objectives comprise defining procedures for data coding, weight implementation and control, computing strategies, and for establishing the training and computing capability of the systems as neural networks..
The problem to address:
This proposal is of interest to the various companies and organizations that support our joint activities. Aragón Photonics and PredictLand have expressed their interest in the topic and committed their participation as secondment destinations.
Objectives:
- To study the operation of optomechanical resonators as reservoirs in space and time
- To study the operation of similar systems embodied by networks of coupled random lasers.
Qualifications:
- PhD prefereably in Physics or Engineering with qualifications:
- Photonics, ideally Random lasers, and/or Optomechanical systems
Desirable
- Numerical methods, ideally condensed matter, and/or electromagnetism
- Artificial intelligence, ideally machine learning, and/or reservoir computing
Expected Outcomes:
- To discover and deploy optical and optomechanical mechanisms leading to physical activation functions for the implementation of hardware neurons, artificial neural networks and reservoir computing systems.
- To assess the input-output performance of the network in order to quantify the energy budget of its training and inferring operation.
