Research Position – Photonics and Optomechanics: We are seeking innovative research proposals that explore novel photonic and optomechanical interactions capable of embodying photonic neural activation functions for implementing advanced neural networks. Join our dynamic team at the cutting-edge of neuromorphic computing.
Photonic and Optomechanic Platform for Ultrafast Efficient Neuromorphic Computing
Designation:
Research Position – Photonics and Optomechanics
| Key Details | Information |
|---|---|
| Research Area | Photonic and Optomechanical Systems |
| Location | Madrid, Spain (ICMM) and Zaragoza, Spain (INMA) |
| Eligibility/Qualification | PhD (preferably in Physics or Engineering) |
| Job Description | Conduct research on photonic and optomechanical interactions, define procedures for data coding, weight implementation, and control methods for neural networks. |
| How to Apply | Interested candidates should apply via the provided application link. |
| Last Date to Apply | [Insert specific date here] (ensure to replace with actual date if known) |
Research Area:
Photonic and Optomechanical Systems
Location:
- Cefe López, ICMM, Madrid, Spain
- Luis MartÃn Moreno, INMA, Zaragoza, Spain
Eligibility/Qualification:
- PhD preferably in Physics or Engineering.
- Qualifications in:
- Photonics (ideally Random lasers and/or Optomechanical systems)
- Numerical methods (ideally condensed matter and/or electromagnetism)
- Artificial Intelligence (ideally machine learning and/or reservoir computing)
Job Description:
The objective of this research position is to explore and establish the theoretical basis for using photonic and optomechanical interactions in innovative neural network designs and device implementations. Key tasks will include:
- Studying the operation of optomechanical resonators as reservoirs in space and time.
- Analyzing networks of coupled random lasers.
- Defining methods for data coding and weight implementation.
- Establishing computing strategies and assessing the training and computing capabilities of systems as neural networks.
- Investigating input-output performance to quantify energy budgets in training and inference operations.
How to Apply:
Interested candidates are encouraged to submit their research proposals along with a CV and relevant documentation via the application link on our website.
Last Date to Apply:
Until position filled
