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# Master Student - AI Modeling for WSS and OCS Switching Systems

- **Company:** Huawei
- **Location:** München, Germany
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Artificial Neural Networks, Wavelength-Division Multiplexing, Data Centers, Network Architecture, Tensorflow, Reinforcement Learning, Pytorch, Delivery Pipeline, Deep Learning, Generative AI
- **Published:** August 19, 2026
- **Apply:** https://www.careerjet.de/jobad/decc579a68aae8af169001ba0f2baa1504

## About the Role

· Strong background in deep learning fundamentals, including neural network architectures, training/inference pipelines, and GPU-accelerated computation.
· Proficiency with PyTorch or TensorFlow.
· Familiarity with one or more: inverse design, physics-informed neural networks (PINNs), reinforcement learning, surrogate modeling, or generative models.
· Experience with multi-objective optimization using AI/ML methods.
Optics & Optical Design (Required)
· Strong foundational knowledge of physical optics, including wave propagation, diffraction, interference, polarization, and beam optics.
· Understanding of liquid crystal optics and LCOS device operation principles.
· Understanding of WSS architecture and key performance metrics: insertion loss, crosstalk, bandwidth, PDL, port count, passband shape.
· Understanding of OCS architecture and key performance metrics: switching speed, port count, insertion loss, crosstalk.
· Ability to perform or interpret simulations (FDTD, RCWA, FEM) of optical structures.
Nice-to-Have (Plus)
· Knowledge of metasurface operating principles (phase/amplitude/polarization control via subwavelength structures), unit-cell design, lattice types, and phase-gradient concepts.
· Experience with LC device modeling (Frank-Oseen theory, director simulation).
· Knowledge of DWDM systems, ROADM architectures, and telecom optical component design.
· Familiarity with data center optical interconnects and OCS-based network architectures.
Prior work at the intersection of AI and photonics/optics



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