PhD Scholarship in Numerical Framework for All-optical Reservoir Computing

International students are invited for a PhD scholarship in sustainable development at Technical University of Denmark. This position is closed on May 31, 2020.

The Machine Learning in Photonic Systems group at DTU Fotonik seeks a candidate for a PhD project on numerically investigating all-optical hardware implementations of reservoir computing. The 3-year PhD position is funded by the Villum Foundation through the Villum Young Investigator Programme: 'OPTIC-AI - Optical processing unit for high-speed AI applications'.

Current digital implementation of machine learning algorithms are limited in speed and energy consumption by the electronics hardware platform they are implemented on. Moving towards all-optical implementations can overcome these challenges. Therefore the key objective of the OPTIC-AI project is to develop a new optical processing unit for implementing reservoir computing, and machine learning in general, on a photonic hardware platform. This Ph. D. project will be hosted within the OPTIC-AI team, part of the Machine Learning in Photonic Systems group at DTU Fotonik. Within the OPTIC-AI team, you will explore the modeling of optical components and relate dynamics of optical systems to the required properties of effective reservoirs to be used for computation. Whereas the focus of the project will be prevalently numerical, it will receive input and feedback from the optical components design and experimental characterization. The project will start by focusing on current demonstrations of optoelectronics reservoir computing and extreme machine learning to subsequently move into fully optical implementations.

Candidates should have a two-year master’s degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master’s degree.

Candidates are expected to have experience with numerical modeling of physical problems and scientific programming (Matlab/Python/Octave/R), as well as a strong background in either machine learning or optics and photonics. Additionally, the candidates are expected to have passed advanced courses in at least one of the two topics, to have good communication skills in English (both written and spoken) and a proven ability to work independently, to plan and carry out complicated tasks. The candidates are expected to describe their previous experience with numerical simulations in the cover letter (see below). Moreover, the following skills will receive additional consideration: Candidates may apply prior to obtaining their master’s degree but cannot begin before having received it.


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