- 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.
