Ph.D. in Photonics, Optical Communications, Electrical Engineering, Physics, or a closely related field.
3+ years of post-Ph.D. or industry experience in optical fiber communication or sensing systems.
Strong hands-on laboratory skills and familiarity with optical test equipment.
Proficient in modeling optical wave propagation and programming in Python, MATLAB, or C++.
Solid understanding of coherent optical communication, advanced modulation formats, and DSP for optics.
Experience with machine learning/AI techniques for optical performance monitoring is an asset.
Knowledge of control systems for dynamic optical networks is a plus.
Responsibilities
Bridge theoretical modeling with experimental validation to enhance optical fiber systems.
Oversee the entire system lifecycle, from simulation and optimization to rigorous testing.
Design and automate advanced optical laboratory testbeds for system performance validation.
Characterize optical components for system performance evaluation.
Develop numerical models considering linear/nonlinear impairments and optimize systems for efficiency.
Implement algorithms for real-time optical performance monitoring and fault detection.
Analyze experimental data to root cause anomalies and optimize system parameters.
Benefits
Opportunities for career advancement in a cutting-edge field.
Access to advanced tools and technologies for experimental work.
Collaboration with leading experts in optical fiber communication.
Engagement in innovative projects with a real-world impact.
Support for continued education and professional development.
Full Job Description
You will bridge the gap between theoretical modeling and hands-on experimental validation to advance the next generation of optical fiber communication and sensing systems.
Your work will span the entire system lifecycle - from high-fidelity simulation and optimization to rigorous experimental testing, real-time performance monitoring, and advanced fault detection:
Design, build, and automate advanced optical laboratory testbeds to validate system-level performance. Conduct characterization of optical components (transceivers, amplifiers, fibers, and modulators).
Develop and maintain accurate numerical models of optical transmission systems, accounting for linear/nonlinear impairments (e.g., CD, PMD, SPM, XPM). System optimization for maximum capacity, reach, and efficiency.
Design and implement algorithms for real-time optical performance monitoring (OPM) and predictive fault detection to enhance network reliability and automated telemetry.
Explore and develop fiber-optic sensing capabilities (e.g., DAS, DTS, DSS) or utilize existing communication infrastructure for co-designed communication and sensing applications.
Analyze large datasets from experimental setups and field trials to root-cause anomalies, optimize system parameters, and close the loop between simulation and reality.
The total target annual compensation for this position ranges from $106,000 to $156,000 depending on education, experience, and demonstrated expertise.
Ph.D. in Photonics, Optical Communications, Electrical Engineering, Physics, or a closely related field.
3+ years of post-Ph.D. or industry experience in optical fiber communication or sensing systems.
Strong hands-on laboratory skills. Deep familiarity with optical test equipment (e.g., Optical Spectrum Analyzers (OSAs), Real-Time Oscilloscopes, Bit Error Rate Testers (BERTs), Optical Time-Domain Reflectometers (OTDRs)).
Proficient in modeling optical wave propagation (e.g., solving the Nonlinear Schrödinger Equation). Strong programming skills in Python, MATLAB, or C++ for simulation, data analysis, and lab automation.
Solid understanding of coherent optical communication, advanced modulation formats (QAM, QPSK), digital signal processing (DSP) for optics, and fiber non-linearities.
Experience with machine learning/AI techniques applied to optical performance monitoring or fault prediction is an asset.
Knowledge of control systems for dynamic optical networks is an asset.
