Optics – PhD position with scholarship in Integrated Photonic Circuits for All-Optical Reservoir Computing, 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|
|Research Area||– Optics|
|Scholarship||According to standard norms|
Technical University of Denmark
|Contract Period||3 Years|
|Starting date||Sep 2021|
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.
Candidates are expected to have experience in optics, especially integrated optics. Additionally, the candidates are required to have good communication skills in English (both written and spoken) and a proven ability to work independently, plan, and carry out complicated tasks.
The candidates are expected to describe their previous experience with numerical simulations and/or PIC design in the cover letter
Moreover, the following skills will receive additional consideration:
- 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
- Innovative skills and the ability to generate new ideas
The current digital implementations 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.
Your 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 (3 PhD students, 1 Postdoc and PI), you will work bridging between the numerical analysis of optimized integrated photonic circuits and the design of the circuits’ layout for fabrication in commercial foundries. The project will start by focusing on current demonstrations of optoelectronics reservoir computing and extreme machine learning to subsequently move into fully optical implementations to be realized with photonic integrated circuits (PICs).
Your overall responsibility will be to use both numerical methods and process design kits (PDKs) to address some of (but not limited to) the research topics listed below:
- Photonic neural networks
- Optoelectronics implementation of reservoir computing
- Silicon photonic circuits
- Design of linear and nonlinear integrated waveguides
- Optimization of photonic circuits to achieve specific functionalities
In general, you are expected to:
- Help to develop numerical simulation code in Matlab/Python
- Propose complex networks of photonic components to implement photonic reservoirs and neural networks.
- Optimize PICs based on a combination of custom-developed code and commercial software (e.g. Lumerical)
- Design PICs by using foundry-provided PDKs
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
- 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 the project/department
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)