Fiber Sensing PostDoc

About the role

This is a disruptive, hands-on research role focused on tackling fundamental scientific and conceptual problems in fiber-optic communication and advanced fiber sensing. You will be responsible for inventing and implementing photonic subsystems with particular focus on developing components and signal processing techniques for optical communication and fiber sensing applications. The work will involve both proof-of-principle studies in a lab environment and field trials of developed prototypes, showcasing performance in real-world scenarios. You are expected to collaborate extensively, both within Nokia Bell Labs and with external partners.

Responsibilities

• Design, conduct, and lead research projects investigating the optimization of ultra-narrow bandwidth laser systems and derived optical comb systems, including the fabrication, design, and packaging of related devices using state-of-the-art technologies.
• Propose and investigate experimentally optimized coherent modulation formats for reflective fiber sensing interrogators. Contribute to real-time implementation of coherent transmission, fiber link stabilization, and fiber sensing systems using both FPGAs and GPUs.
• Develop and implement novel machine learning (ML) algorithms specifically tailored for long-distance reflective fiber-sensing systems. A particular emphasis is on real-time ML implementations, combing edge and cloud compute to combine streams from several field systems.
• Develop and implement novel machine learning (ML) algorithms specifically tailored for long-distance reflective fiber-sensing systems. A particular emphasis is on real-time ML implementations, combing edge and cloud compute to combine streams from several field systems.

Requirements

• Ph.D. degree or equivalent in a relevant field (e.g., electrical engineering, physics, computer science) with a specialization in optical metrology, fiber sensing, or fiber optics communication.
• Preferred 3+ years of professional or postdoctoral technical experience in the field of optical metrology, fiber optic communication, fiber sensing, or machine learning.

Qualifications

• Excellent experimental and numerical simulation skills, with a proven track record in optical transmission and sensing technologies.
• Experience with on-chip lasers and locking or stabilization circuits is highly desirable.
• Strong practical experience with state-of-the-art machine learning tools and techniques, including deep learning frameworks. Experience with ML for optical communications or distributed fiber sensing is highly desired.
• Strong background in coherent signal processing techniques and implementations. Experience with FPGA design and real-time GPU implementations supporting optical digital signal processing algorithms is highly desired.
• Exceptional programming skills, with a strong preference for proficiency in Python (including data science and ML libraries). Experience with C, CUDA, VHDL/Verilog is highly desired.
• Demonstrated significant research innovation and results, evidenced by high-impact publications in leading journals and/or recognized industry contributions.

Skills

• Excellent experimental and numerical simulation skills, with a proven track record in optical transmission and sensing technologies.
• Experience with on-chip lasers and locking or stabilization circuits is highly desirable.
• Strong practical experience with state-of-the-art machine learning tools and techniques, including deep learning frameworks. Experience with ML for optical communications or distributed fiber sensing is highly desired.
• Strong background in coherent signal processing techniques and implementations. Experience with FPGA design and real-time GPU implementations supporting optical digital signal processing algorithms is highly desired.
• Exceptional programming skills, with a strong preference for proficiency in Python (including data science and ML libraries). Experience with C, CUDA, VHDL/Verilog is highly desired.
• Demonstrated significant research innovation and results, evidenced by high-impact publications in leading journals and/or recognized industry contributions.

Benefits

The above benefits exclude students. Disclaimer for US/Canada Nokia Maintains broad annual base salary ranges for its roles in order to account for variations in knowledge, skills, experience and market conditions, and with consideration to internal peer equity. Check the salary ranges in the job info section for this role. All North America job posts will post for a minimum of 7 calendar days and up to 180 days or until candidate/s identified.