Master Student - AI Modeling for WSS and OCS Switching Systems

We are seeking a Master student to work on AI-driven modeling and optimization of metasurface-based Pixelated Isotropic LCOS (PI-LCOS) devices and Wavelength Selective Switch (WSS) systems. The project has two complementary tracks:

1. PI-LCOS metasurface optimization - Use AI techniques to optimize metasurface shapes and topologies to reduce insertion loss and achieve low polarization-dependent loss (PDL) in metasurface-based PI-LCOS devices.
2. WSS modeling & optimization - Develop AI-assisted models for WSS systems based on conventional LCOS technology, focusing on crosstalk suppression, insertion loss reduction, and system-level performance improvement.

• Develop AI/ML surrogate models and inverse design frameworks for metasurface unit-cell optimization targeting PI-LCOS devices, with objectives including insertion loss minimization and PDL reduction.
• Build and refine WSS system-level models (optical path, LCOS switching engine, port architecture) for conventional LCOS-based WSS, evaluating insertion loss, crosstalk, passband shape, and PDL
• Investigate WSS crosstalk suppression strategies through pixel layout design, phase/amplitude apodization, and AI-driven optimization.
• Perform electromagnetic simulations (FDTD, RCWA, FEM) of metasurface structures and validate AI predictions against full-wave results.
• Optimize metasurface geometry parameters (pillar shape, lattice, orientation, material) to minimize insertion loss and PDL while meeting phase/amplitude/polarization requirements.
• Apply AI/ML methods to the LCOS-based WSS design loop for multi-objective optimization across system-level performance metrics.

• Enrolled in a Master’s program in EE, Photonics, Applied Physics, Optical Engineering, CS, or related field.
• Deep learning fundamentals; experience with PyTorch or TensorFlow
• Familiarity with one or more: inverse design, physics-informed neural networks (PINNs), reinforcement learning
• Understanding of metasurface operating principles (phase/amplitude/polarization control via subwavelength structures).
• Knowledge of unit-cell design, lattice types, phase-gradient concepts, and fabrication constraints
• Foundational knowledge of physical optics, liquid crystal optics, and LCOS device operation (both conventional and pixelated isotropic modes).
• Understanding of WSS architecture and key metrics: insertion loss, crosstalk, bandwidth, PDL, port count.
• Experience with LC device modeling (Frank-Oseen theory, director simulation).
• Knowledge of DWDM systems and telecom optical component design
• Prior work at the intersection of AI and photonics/optics
• Ability to read technical literature independently.
• Ability to work independently and collaboratively in a research-oriented environment

• Our culture is characterized by innovative power and team spirit as well as the intensive exchange of knowledge and experience within our global network.
• We offer healthy meals ranging from traditional Chinese to western delicacies in our famous company canteen.
• To keep your development ongoing, you will find a broad range of training opportunities. Many online and face-to-face training programs incl. language courses in German and Mandarin.
• Our diverse and welcoming environment is shaped by different backgrounds and around 40 individual nationalities.
• Self-responsible work in a competent, motivated and constantly growing team.

Please send your application and CV (incl. cover letter and reference letters) in English.

Huawei is a leading global information and communications technology (ICT) solutions provider. Our ICT solutions, products and services are used in more than 170 countries and regions, serving over one-third of the world’s population. With 208,000 employees, Huawei is committed to develop the future information society and build a Better Connected World. Anstellungsart Werkstudent Homeoffice Nach Absprache Standort