Postdoc: Inverse Design of Photonic Metamaterials Through Physics-informed Deep Learning
Postdoc: Inverse Design of Photonic Metamaterials Through Physics-informed Deep Learning
Institute AMOLF
Amsterdam, Netherlands
Photonic metamaterials have fascinating properties for light, with many applications from communication and imaging to photovoltaics and topological physics. They are however notoriously difficult to design, owing to the large parameter space and multidimensional design targets. In this pilot project, we want to investigate how artificial intelligence could predict the properties of two-dimensional metasurfaces, how it could help us understand the inner workings of these systems, and how it could be used to design metamaterial devices with targeted functionality. Specifically, we aim at incorporating rigorous self-consistent physical models into the machine learning method to achieve those goals.
The Photonic Forces group at AMOLF, led by prof. Ewold Verhagen, seeks a motivated and talented postdoc to undertake this pilot project. The project lies at the interface of electromagnetic modelling and theory and deep learning methods. You will develop methods and test them towards the inverse design of state-of-art photonic systems, in collaboration with international academic partners and industrial partner Sony research. You will be involved in all aspects of development, design, and dissemination of the results.
Qualifications
We seek an excellent candidate with a background in physics or photonics engineering and relevant experience with machine learning methods and/or electromagnetic theory. You need to meet the requirements for a doctors-degree. The successful candidate has a collaborative spirit, and will liaise with academic and industrial collaborators. We strongly believe in the benefits of an inclusive and diverse environment, and encourage people from all backgrounds to apply.
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