PhD scholarship in Laser physics, Bayesian filtering, Machine learning jobs

    PhD scholarship in Laser physics, Bayesian filtering, Machine learning jobs

    Laser physics, Bayesian filtering, Machine learning jobs – PhD scholarship in Optical Frequency Comb Generation using Machine Learning, at DTU Fotonik, Technical University of Denmark


    Deadline to Apply

    May 26, 2021 (23: 59 GMT +1)


    Overview

    PositionPhD Position
    No. of Position(s)1
    Research Area– Laser physics
    – Machine learning
    – Device physics
    – Optical communication systems
    ScholarshipAccording to standard norms
    WorkplaceSilicon Photonics for Optical Communications (SPOC)
    DTU Fotonik
    Technical University of Denmark
    Contract Period3 Years
    Starting dateAs soon as possible

    Qualifications

    You must 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.

    You are expected to have experience with laser physics, machine learning, device physics and optical communication systems.

    Preference

    • Good understanding of laser and device physics
    • Good understanding of digital signal processing (signal analysis, power spectrum estimation, time-series analysis)
    • Good theoretical understanding of linear algebra
    • Good understanding of numerical methods for optimization
    • Experience with machine learning techniques (expectation maximization algorithms, neural networks, Guassian processes, etc.)
    • Experience using MATLAB, Python or similar
    • Experience with software for version control such as git
    • Ability to work independently, to plan and carry out complicated tasks
    • Good communication skills in English, both written and spoken
    • Innovative skills and the ability to generate new ideas Experience using MATLAB, Python or similar
    • Experience with software for version control such as git
    • Ability to work independently, to plan and carry out complicated tasks
    • Good communication skills in English, both written and spoken
    • Innovative skills and the ability to generate new ideas

    Responsibilities

    The objective of the proposed PhD project is to investigate how machine learning methods can be used for optical frequency comb generation and control. More specifically, the project will investigate inverse system design for low-noise frequency comb generation. The start date is flexible but preferably as soon as possible. The project is interdisciplinary and will cover topics within the field of laser physics, machine learning, device physics and optical communication. The project will be carried out in Machine Learning in Photonic Systems (M-LiPS) group. The group has a strong track record and industry collaboration in the application of machine learning techniques to optical communication and measurements systems in general. A close collaboration with the University of California Santa Barbara (Prof. John E. Bowers group) is envisioned within the project. 

    This Ph.D. project will develop a machine learning framework for optical frequency combs generation. More specifically, we will investigate how machine learning enabled inverse system learning can be used to generate low-noise spectrally broad frequency combs based on micro-resonator rings or other technologies. Moreover, the project will investigate how machine learning can be explored to enable arbitrary-shape spectrum generation in a controlled way – a feature important for the next generation of AI enabled optical networks. The developed combs will then be investigated for optical data signal transmission as well as RF and THz signal generation.

    Your work will include research into machine learning methods for inverse system design applied to optical frequency comb generation. Specifically you will focus on the following areas:

    • Physics based numerical models for optical frequency comb generation
    • Multi-layer neural networks for inverse system design
    • Optimization methods
    • Novel training algorithms for multi-layer neural networks
    • Experimental verification of the designs
    • Optical transmission experiments
    • Maintenance  of the GitHub repository for the developed code  
    • Organising and managing joint experiments with the collaboration groups.

    How to Apply?

    To apply, please open the link “Apply online”, fill out the online application form, and attach all your materials in English in one PDF file

    Documents Required

    • A letter motivating the application (cover letter)
    • Curriculum vitae
    • Grade transcripts and BSc/MSc diploma
    • Excel sheet with translation of grades to the Danish grading system (see guidelines and Excel spreadsheet here)

    About DTU Fotonik

    DTU Fotonik has 210 employees with competences in optics and is one of the largest centres in the world based solely on research in photonics. Research is performed within optical sensors, lasers, LEDs, photovoltaics, ultra-high speed optical transmission systems, bio-photonics, nano-optics and quantum photonics.

    Note

    • The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union
    • If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark

    Inquiries

    Associate Professor Darko Zibar
    Email: dazi@fotonik.dtu.dk

    Official advertisement

    PhD scholarship in Optical Frequency Comb Generation using Machine Learning

    Post expires at 8:59am on Thursday May 27th, 2021 (GMT+9)