Our company

Huawei's vision is to enrich life through communication. We are a fast growing and leading global information and communications technology solutions provider. With our three business units Carrier, Enterprise and Consumer, we offer network infrastructure, cloud computing solutions and devices such as smartphones and tablet PCs.

Our Research Center

With 27 sites across Europe and 2000 researchers, Huawei’s European Research Institute (ERI) oversees fundamental and applied technology research, academic research cooperation projects, and strategic technical planning across our network of European R&D facilities. Huawei’s ERI includes the new Zurich Research Center (ZRC), located in Zurich, Switzerland. Our group at Huawei Zurich Research Center focuses on prototyping novel computer vision algorithms for mobile devices using recent advances in computer vision, generative AI, and camera hardware.

The ZRC Laboratory is seeking exceptional interns to contribute to cutting-edge research in foundational models for computer vision. You will develop advanced computer vision algorithms, focusing on generative models. Your work will involve designing, optimizing, and evaluating models for image and video understanding, data generation and efficient multimodal learning, all aimed at enhancing the computational photography features of Huawei mobile phones.

Your responsibilities

• Conduct research on the latest advancements in generative modelling to extract accurate scene representations, with a focus on text-to-image and image-to-image techniques.
• Collaborate with the research and product teams to align with product requirements.
• Develop solution prototypes and present demonstrations.
• Prepare progress reports, documentation, and academic publications.

Minimum requirements

• Currently enrolled in a Master or PhD university program in Computer Science, Computer Vision, Computer Graphics, Robotics, Electrical Engineering or equivalent.
• Problem-solving mindset: the ability to explore technical literature, cross-reference relevant ideas, design prototypes, iterate upon them, shortlist and make one a state of the art.
• Strong expertise in PyTorch and Python.
• Applications need to include a CV and a brief message explaining how your experience aligns with the role description.
• Due to regulations, non-EU/EFTA citizens must additionally provide a certificate from the university, stating that the internship is a mandatory part of the education program.

Preferred requirements

• Currently enrolled in a PhD university program.
• Hands-on experience with diffusers, transformers, and the Hugging Face ecosystem; fine-tuning models, LoRA techniques, etc.
• Accepted papers or submissions in conferences or journals on relevant topics.
• Accepted pull requests or patches for the relevant open-source projects; achievements in coding competitions.
• A routine for discovering AI news: a complete Scholar Inbox profile, social media accounts, etc.
• Deep theoretical understanding of Flow Matching, DDPM, and related areas.
• Experience with Blender, MITSUBA, or other scriptable 3D rendering tools.
• Experience with computer vision models, radiance fields, gaussian splatting.
• Experience with mobile hardware.
• Proficiency in writing native code (C++/GPU).