PhD position in Machine Learning Techniques for Optical Frequency Comb Generation – DTU Electro

DTU Electro invites applications for a position as a PhD student for generation and stabilization of optical frequency combs. The position is focused on developing and implementing control protocols based on machine learning for flexible and ultra-fast generation of optical frequency combs based on various nonlinear platform. The overall objective is to realize frequency combs with flexible spectral shape profiles and minimum noise. The intended applications of the frequency combs will be realization of sensing network based on coherent optical time domain reflectometry. The start date is flexible, but preferably before 1 May 2025.

We seek a motivated, curious, and outgoing PhD candidate with a solid background in fiber-optics, machine learning, photonics, and communication engineering. Experience with application of machine learning to communication systems and experimental work is a plus.

The project goal is to neural network-based control algorithms that allow control of pump signals amplitude and phase, to generate combs with various properties. The project will cover both algorithm development as well as experimental implementations. Throughout the project, we will also into noise characterization and various approaches for its minimization. 

We offer an opportunity to develop expertise in various domains, including but not limited to:

• Machine learning techniques for design and generation of optical frequency combs 
• Development of advanced signal processing-based techniques for noise characterization. 
• Realization of experimental procedures for test of the developed frameworks 
• Building optical fibre sensing system employing developed combs

Responsibilities and qualifications you will take part in an educational program of 30 ECTS tailored to your needs on technical subjects, as well as on the “soft skills” needed for a successful career either in industry or academia. 

Your tasks will include research into novel machine learning based control algorithms for ultra-fat and stable optical frequency combs generation. More specifically, the focus will be on fast and efficient modelling of various nonlinear platform for comb generations. Specifically, you will focus on the following areas:

• Data-driven modelling using multi-layer neural networks 
• Model-free reinforcement learning for amplitude and phase control
• Experimental implementation of the developed techniques 
• Phase noise characterization 
• Maintenance of the GitHub repository for the developed code 
• Organizing and managing joint experiments with the collaboration groups

You 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 and some international experience.

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 terms of employment
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. The start date is flexible, but preferably before 1 May 2025.

You can read more about career paths at DTU here.

Further information 
Further information may be obtained from Professor Darko Zibar, dazi@dtu.dk.

You can read more about DTU Electro at https://electro.dtu.dk/.

If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark. Furthermore, you have the option of joining our monthly free seminar “PhD relocation to Denmark and startup “Zoom” seminar” for all questions regarding the practical matters of moving to Denmark and working as a PhD at DTU. 

Application procedure 
Your complete online application must be submitted no later 21 December 2024 (23:59 Danish time). Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply now", 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 (in English) including official description of grading scale

You may apply prior to obtaining your master's degree but cannot begin before having received it. 

Applications received after the deadline will not be considered.

All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply. As DTU works with research in critical technology, which is subject to special rules for security and export control, open-source background checks may be conducted on qualified candidates for the position.

DTU Electro employs more than 300 skilled researchers with competencies in electrical and photonics engineering. As a department we strive towards creating sustainable energy and a greener internet, as well as strengthening cyber security and health technology. Working with the industry and public organisations is one of our top priorities to find and implement new solutions to our society.

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 mission to develop and create value using science and engineering to benefit society. That mission lives on today. DTU has 13,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world.