PhD in Machine Learning Techniques: Be the first to apply for this exciting PhD scholarship opportunity at DTU Electro in Kgs. Lyngby, Denmark. We are seeking a motivated candidate with a background in optical communication, laser physics, or nonlinear optics to explore machine learning techniques for spectral shaping and quantum noise limited operation of optical frequency combs. This interdisciplinary project offers a chance to develop expertise in experimental procedures, machine learning, feedback control, and fiber-optic communication systems.
PhD Scholarship in Machine Learning Techniques for Spectral Shaping of Ultra-Broadband Optical Frequency Combs – DTU Electro
Summary Table:
| Location | Kgs. Lyngby, Denmark |
|---|---|
| Study Area | Machine Learning Techniques for Spectral Shaping of Ultra-Broadband Optical Frequency Combs |
| Scholarship Duration | 3 years |
| Starting Date | 1 October 2024 |
| Application Deadline | 31 May 2024 |
| Salary | As per collective agreement with Danish Confederation of Professional Associations |
Study Area: Machine Learning Techniques for Spectral Shaping of Ultra-Broadband Optical Frequency Combs
Scholarship Description: The project aims to investigate various machine learning techniques to enable feedback control for spectral shaping and quantum noise limited operation of ultra-broadband optical frequency combs. This involves numerical simulations, algorithm development, and experimental implementations. The candidate will work on designing feedback loops, noise characterization, experimental set-ups, and maintaining code repositories.
Eligibility: The ideal candidate should possess a two-year master’s degree (or equivalent) in optical communication, laser physics, nonlinear optics, or related fields. International experience is desirable. Experience in machine learning, digital signal processing, and experimental work would be advantageous.
Required Documents:
- A letter motivating the application (cover letter)
- Curriculum vitae
- Grade transcripts and BSc/MSc diploma (in English) with official description of grading scale
How to Apply: Submit your complete online application no later than 31 May 2024 (23:59 Danish time). Combine all materials into one PDF file and apply through the “Apply now” link. You may apply before obtaining your master’s degree but cannot start before receiving it.
Last Date: 31 May 2024
If you have any further inquiries, feel free to contact Professor Darko Zibar at dazi@dtu.dk. Visit https://electro.dtu.dk/ for more information about DTU Electro.
All interested candidates irrespective of age, gender, race, disability, religion, or ethnic background are encouraged to apply.
