Machine learning algorithms – PhD scholarship in in Machine Learning Techniques for Communication over the Fiber-Optic Channel, at DTU Fotonik, Technical University of Denmark
Deadline to Apply
May 01, 2021 (23: 59 GMT +1)
|No. of Position(s)||One|
|Research Area||– Machine learning algorithms|
– Optical communication systems
|Scholarship||According to standard norms|
Technical University of Denmark
|Contract Period||3 Years|
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 development of machine learning algorithms and coherent optical communication systems.
Moreover you shall have additional skills as:
- Good understanding of digital communications
- Good theoretical understanding of nonlinear optics
- Experience with machine learning techniques (expectation maximization algorithms, neural networks, Guassian processes, etc.)
- Experience using Python, MATLAB 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
About Research Project
The project is interdisciplinary and will cover topics within the field of machine learning 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 and industry collaboration in the application of machine learning techniques to optical communication systems and photonic systems in general.
This Ph.D. project will explore the latest advances within machine learning to enable nonlinear-distortion free communication over the optical fibre channel. It will be explored how to explore machine learning techniques to enable spectrally efficient and robust optical communication systems covering ultra-wide band transmission (O+E+S+C+L band). More specifically, the application and efficient training for auto-encoders will be investigated. The project will cover both algorithm development as well as experimental implementations.
This PhD position will investigate the research topics below using both theoretical and experimental methods, but not limited to these topics:
- Develop novel machine learning based transmitter and receiver schemes
- Develop novel training algorithms for deep neural networks
- Investigate the impact of non-ideal transmission schemes on the performance of the algorithms
- Test the developed algorithms in an experimental test-bed
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 DTU Fotonik
DTU Fotonik has 210 employees with competences 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.
Professor Darko Zibar
Post expires at 8:59am on Sunday May 2nd, 2021 (GMT+9)