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
Candidates should have a master's degree in engineering or a similar degree with an academic level equivalent to the master's degree in engineering; Candidates are expected to have experience with designing and performing numerical simulations of coherent optical communication systems; Moreover the candidate 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 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
PhD scholarship in Machine Learning Techniques for Communication over the Fiber-Optic Channel DTU Fotonik Share on Facebook Share on Twitter Share on Linkedin Wednesday 01 Jul 20 Apply for this job Apply no later than 1 September 2020 Apply for the job at DTU Fotonik by completing the following form. Apply online 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 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 Qualifications Candidates should have a master's degree in engineering or a similar degree with an academic level equivalent to the master's degree in engineering. Candidates are expected to have experience with designing and performing numerical simulations of coherent optical communication systems. Moreover the candidate 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 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 Approval and Enrolment 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 . Assessment The assessment of the applicants will be made by Associate Professor Darko Zibar. We offer 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. Salary and appointment terms 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. Workplace will be at DTU Fotonik, Department of Photonics Engineering, at the Kgs. Lyngby Campus. You can read more about career paths at DTU here . Further information Further information may be obtained from Associate Professor Darko Zibar, firstname.lastname@example.org . You can read more about DTU Fotonik on www.fotonik.dtu.dk . Application Please submit your online application no later than 1 September 2020 (local time) . Applications must be submitted as one PDF file containing all materials to be given consideration. 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 . 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 ) Candidates may apply prior to obtaining their master's degree but cannot begin before having received it. All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply. 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. Technology for people DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear vision to develop and create value using science and engineering to benefit society. That vision lives on today. DTU has 11,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. Our main campus is in Kgs. Lyngby north of Copenhagen and we have campuses in Roskilde and Ballerup and in Sisimiut in Greenland.
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