The Computer Vision and Machine Learning Lab at Huawei Research Center in Zurich is seeking a Research Scientist to advance generative modeling and bring it to hundreds of millions of devices. The focus is on conducting cutting-edge research on generative models for images, video, and 3D/4D content, aiming to make these models efficient for on-device use and controllable enough for trusted product integration.
Tasks
- Conduct original research on efficient generative models, including diffusion and flow-based models, few-step and one-step generation, distillation, quantization, and architectures co-designed with mobile and automotive hardware.
- Develop methods for controllable and reliable generation: precise conditioning and guidance, preservation of faces, identity, text, and scene structure, artifact detection and suppression, and consistency across frames and views.
- Extend these methods to 3D/4D generation, including neural and Gaussian scene representations, dynamic scene reconstruction, and controllable content creation.
- Apply the results to camera and imaging pipelines, image and video enhancement, editing and understanding, and graphics and rendering use cases on consumer devices.
- Transfer research results into Huawei products in close collaboration with product, hardware, and software engineering teams.
- Publish at leading conferences and journals (e.g., CVPR, ICCV, ECCV, NeurIPS, ICLR, SIGGRAPH) and contribute to the research community.
- Mentor interns and junior researchers, and collaborate with academic partners in Switzerland and abroad.
Requirements
- PhD (or equivalent research experience) in computer vision, computer graphics, machine learning, or a related field.
- Strong publication record in generative modeling, image or video restoration and editing, neural rendering, 3D/4D vision, or efficient deep learning.
- Solid hands-on experience with modern deep learning frameworks (e.g., PyTorch) and the ability to write clean, efficient research code.
- Deep understanding of diffusion and flow-based models, including sampling, guidance, conditioning, and distillation techniques.
- Curiosity, independence, and the drive to turn research into real-world impact.
- Experience with controllability and faithfulness in generation, such as identity or text preservation, structure-guided editing, or artifact evaluation (nice to have).
- Experience deploying models on mobile or embedded platforms (e.g., NPUs, quantization-aware training, on-device runtimes) (nice to have).
- Familiarity with 3D representations (meshes, point clouds, implicit fields, Gaussian splatting) and video or dynamic scene modeling (nice to have).
- Background in autonomous driving perception, simulation, or world models (nice to have).
Benefits
- The opportunity to define the state of the art in a fast-moving field and see your work deployed at massive scale.
- Freedom to publish and to engage with the academic community.
- A collaborative, international environment in Zurich, with close ties to ETH Zurich, EPFL, and other leading research institutions.
- Competitive compensation and benefits.
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Über uns
Das Team
You will join an international research team in Zurich, with members holding PhDs from leading institutions such as ETH Zurich and EPFL, and a strong publication record at top-tier venues. The team combines the openness and rigor of an academic lab with the resources and reach of a global technology company.