Research Scientist: AI for Camera Lens Design&Imaging, Zürich (Kreis 11)

Research Scientist– AI-Driven Optics

We are looking for a Research Scientist to pioneer a new paradigm: AI-Driven Optics. You will move beyond incremental improvements, using AI to solve the complex inverse problems of lens design, optimizing for both extreme image quality and high-volume manufacturing viability. Key Responsibilities

Neural Inverse Design: Develop AI frameworks to automate the design of complex, multi-element aspherical lens systems, pushing the boundaries of MTF (Modulation Transfer Function) and light‑gathering capabilities. End-to-End Co-Design: Lead the integrated optimization of optical hardware and downstream AI restoration algorithms. You will ensure the “glass” and the “code” work as a single, unified system.Intelligent Manufacturing (DfM): Leverage generative AI and Bayesian optimization to simulate manufacturing variances. Improve manufacture success rates by designing robust optical systems that maintain peak performance despite microscopic assembly tolerances. Next-Gen Simulations: Research and implement differentiable ray‑tracing or wave‑optics solvers to bridge the gap between deep learning and physical simulation.Academic Leadership: Publish original research in top‑tier venues (CVPR, ICCV, SIGGRAPH) and contribute to Huawei’s extensive global patent portfolio. Qualifications

Education: PhD in Optical Sciences, Physics, Computer Science, or Electrical Engineering from a top‑tier university (e.g., ETH, EPFL, or equivalent). Technical Excellence:

Deep understanding of Physical Optics, Aberration Theory, and modern deep learning architectures. Expertise in PyTorch and differentiable programming. Hands‑on experience with optical simulation tools (Zemax, Code V) and their integration into Python‑based AI workflows.

Mindset: A passion for solving“impossible” hardware constraints through software and AI ingenuity. Languages: Fluency in English; proficiency in Chinese or German is a plus. Why Huawei Zurich?

Impact: Your research will directly define the camera performance of the world’s most advanced smartphones. Collaboration: Work alongside industry‑leading experts in a high‑caliber, academic‑style research environment. Resources: Access to proprietary real‑world datasets, flagship ISP architectures, and state‑of‑the‑art optical lab facilities.Quality of Life: Experience the world‑class standard of living, nature, and infrastructure in Zurich, Switzerland.

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