Photonics – Postdoc position in Experimental Analysis of Photonic-Hardware for Machine Learning, in the Machine Learning in Photonic Systems group at DTU Fotonik, Denmark
Deadline to Apply
June 30, 2021 (23: 59 GMT +1)
|No. of Position(s)||1|
|Salary||According to standard norms|
|Workplace||Photonic Systems group|
Technical University of Denmark
|Contract Period||2 Years|
|Starting date||Sep 2021|
- As a formal qualification, you must hold a PhD degree (or equivalent).
- Candidates are expected to have experience in setting up, characterizing, and automatizing experimental optical test beds, free-space and/or fiber-based, as well as with numerical modeling of physical problems and machine learning algorithms.
- Additionally, the candidates are expected 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.
- Experience with software for version control such as git
- Theoretical understanding of extreme learning machine and/or reservoir computing
- Theoretical understanding of nonlinear optics
- Experience with numerical implementations of machine learning algorithms
- Experience with machine learning frameworks such as Tensorflow and Pythorc
- Experience with design and characterization of photonic circuits
- Experience with supervising students
- Innovative skills and the ability to generate new ideas
Responsibilities/ Job Description
Your overall responsibility will be to set up experimental testbeds, contribute to numerical simulations and supervise students on (but not limited to) the research topics listed below:
- Photonic neural networks
- Optoelectronics and all-optical implementations of reservoir computing
- Machine-learning models for characterization of photonic components
- Techniques for training optical and optoelectronic networks
In general, you are expected to:
- Investigate machine learning implementations on photonic hardware
- Propose complex networks of photonic components to implement photonic reservoirs
- Implement new experimental setups for analyzing the performance of photonic neural networks and reservoir computing
- Contribute to the development of numerical models (Matlab/Python) and help to maintain the existing frameworks using Git
- Investigate the benefit of photonic reservoir computing for optical communication applications, e.g. equalization, classification, end-to-end learning
- Supervise BSc and MSc student projects, and be co-supervisor for PhD students
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
- Application (cover letter)
- Academic Diplomas (MSc/PhD)
- List of publications
- Copy/list of 5 peer-reviewed publications that are relevant toexperimental work in optics and/or machine learning
- Name and e-mail addresses of 2 references
About DTU Fotonik
DTU Fotonik has 210 employees with competencies in optics and is one of the largest centers 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.
- 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.
Senior Researcher Francesco Da Ros
Post expires at 8:59am on Thursday July 1st, 2021 (GMT+9)