Nanolasers are integrated devices which emit coherent radiation with an output facet on the scale of the wavelength of the light emitted. A high-quality, tunable, high-yield and stable device has emerged as a key aspiration enabling emerging technologies as diverse as post von Neuman computing, photonic integrated circuitry, optical machine learning and quantum communication.
Despite a demonstrated need, development remains slow. There are two key reasons – the extreme sensitivity of lasers to variation in material or cavity quality, and challenges associated with reliably characterizing devices. Over the past few years, the OMS group at Manchester has established an automated, high-throughput approach that can address both of these challenges by measuring thousands of nanolasers and correlation their material and geometric properties to the performance.
In this project, we seek to develop an end-to-end pipeline using optical imaging, electronic microscopy, materials spectroscopy and laser performance measurement to close the loop between design and manufacture. We work with key project partners around the world to implement Bayesian optimization strategies to rapidly improve nanolasers.
This project would suit a candidate with real-world interest in photonics, a wish to develop a wide range of characterization skills, and solid programming (MATLAB/Python/Julia) experience. The group consists of 8 pre- and post-doctoral researchers with a range of discipline backgrounds.
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Before you apply
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How to apply
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