The aim of this research project is to investigate and implement novel concepts of self-sustainable photonic integrated spiking neural networks for ultra-high energy efficient computation.
Research challenges
Within the newly granted EHCI internal call, we are looking for a good candidate for a two-year postdoc position, working on the combination of photonic integration technology with gain layer technology for frontier integrated spiking neural network research. The project creates a bridge between material sciences and photonic engineering by targeting a specific concept envisioned for spiking-neural-network-based computing. Your research will enable a whole new class of reconfigurable memories and spiking synapses, which could lead to highly efficient optical processing engines.
Photonics can play an important role in computation by designing and developing compact, energy-efficient, low latency and high-capacity computing engines. Several on-chip computing paradigms have already been proposed based on the use of light, but scalability is still a problem. A different approach needs to be explored and realized in this program. Within this project, the Photonic Neural Network Lab within the ECO group at TU/e aims to collaborate with the chemistry department and use straight-forward deposition techniques for interfacing gain-materials to photonic integrated waveguides and push their co-integration. Different materials and ligands will be explored to augment the system of brain-inspired functionalities, for the first self-sustainable spiking systems.
In this research program, the Post-Doc researcher will explore the co-integration of gain layers on photonic integration platforms, for the characterization of the first spiking mechanism in these device system. He/She will implement novel memory mechanisms, and push compactness of the structure that still allow self-sustainability of the spikes. Will investigate scalability and benchmark with state-of-the-art AI chips. This research will enable a whole new class of reconfigurable photonic devices, which will lead to highly efficient parallel optical processing engines and high impact journals.
The team
The PostDoc position is within the Electro-Optical Communication Systems (ECO) group, part of the Eindhoven Hendrik Casimir Institute (EHCI). The ECO group has about 73 members, 55 of which are PhD students and PDs, and 18 are staff members, focusing on photonic technology for communication and computation. The EHCI has five dynamic and ambitious research groups, which are closely cooperating: a systems group, a photonic integration technology group and three materials research groups, with a predominant focus on neuromorphic and quantum computing, is the ideal eco-system where to develop this research.
Candidates for this challenging project must:
A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:
About us
Eindhoven University of Technology is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands-on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow.
Information
Do you recognize yourself in this profile? Then, please do apply straight away.
If you have questions and would you like to know more? Please do contact dr. Patty Stabile (r.stabile[at]tue.nl) and dr. Stefan Meskers (s.c.j.meskers[at]tue.nl).
Visit our website for more information about the application process or the conditions of employment. You can also contact HR Services Flux, hrservices.flux[at]tue.nl.
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Application
We invite you to submit a complete application by using the apply button.
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We look forward to receiving your application and will screen it as soon as possible.
You can apply for this vacancy before May 30th 2023.
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