Get a PhD scholarship in Machine Learning and Optical Communication at Denmark Technical University (DTU) 2020

PhD scholarship in Machine Learning Techniques for Communication over the Fiber-Optic Channel

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Description

PhD scholarship in Machine Learning Techniques for Communication over the Fiber-Optic Channel

DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

Applications are invited for a 3-year PhD position funded by the European Commission’s ERC consolidator grant: ‘FRECOM – Nonlinear-Distortion Free Communication over the Optical Fibre Channel’. The objective of the FRECOM project is to develop novel machine learning based strategies for communication over the nonlinear optical fiber channel. The start date is flexible, but preferably before December 1, 2020.

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 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 combine machine techniques with Nonlinear Fourier Transform (NFT), 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.

Responsibilities and tasks:
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 for conventional as well as nonlinear Fourier division multiplexing systems
• Investigate the impact of non-ideal transmission schemes on the performance of nonlinear signalling schemes
• Apply machine learning algorithms to improve the knowledge on the transfer function applied by the nonlinear fiber channel

Opportunity Focus Areas:
Photonics engineering ( Fiber-Optic System)

Specialties

Computer Science, Computer Science and IT, Electrical Engineering, Electronic Engineering, Engineering, Mechatronics Engineering, Software

Eligibilities

Not Specified

All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.

Gender

Nationality

Algeria, Bahrain, Comoros, Cyprus, Djibouti, Egypt, Iraq, Jordan, Kuwait, Lebanon, Libya, Mauritania, Morocco, Oman, Palestine, Qatar, Saudi Arabia, Somalia, South Sudan, Sudan, Syria, Tunisia, Turkey, UAE, Yemen

Required Languages

Required Degree

Other Requirements

Skills

Innovative skills and the ability to generate new ideas.

Skills

Good communication skills in English, both written and spoken.

Skills

Ability to work independently, to plan and carry out complicated tasks.

Skills

Experience with software for version control such as Git.

Skills

Experience using MATLAB or similar.

Skills

Experience with machine learning techniques (expectation maximization algorithms, neural networks, Guassian processes, etc.).

Skills

Good theoretical understanding of nonlinear optics.

Skills

Good understanding of digital communications.

Designing Experience

Candidates are expected to have experience with designing and performing numerical simulations of coherent optical communication systems.

Benefits

Salary

Salary varies according to the career path chosen.

Stipend/Allowance

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. The period of employment is 3 years.

Cover Tuition Fees

It covers study and project costs that include: Supervision, Office facilities, Laboratory facilities , Courses, Travelling, Stay(s) abroad, if any , Censorial expenses , Publication of thesis

Required Documents

How To Apply

First step: Create an account to login to Application form here.

Second step: Fill out the online application form, and Attach all your materials in English in one PDF file. The file must include:

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)

Notes:

The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see the DTU PhD Guide.
The assessment of the applicants will be made by Associate Professor Darko Zibar. Further information may be obtained from Associate Professor Darko Zibar, dazi@fotonik.dtu.dk.