Researcher (Senior) – Control Technologies for Magnetic Storage
If you are enthusiastic in shaping Huawei’s European Research Institute together with a multicultural team of leading researchers, this is the right opportunity for you!
Huawei envisions a world where technology connects people, empowers industries, and unlocks human potential. Guided by its mission to enrich lives through communication and intelligent innovation, Huawei stands at the forefront of global digital transformation. As a leader in Information and Communications Technology (ICT), the company pioneers breakthroughs in artificial intelligence, cloud computing, and smart devices—building the intelligent foundation of a fully connected world.
Through its Carrier, Enterprise, and Consumer business groups, Huawei delivers resilient digital infrastructure, advanced cloud and AI platforms, and transformative devices that enable progress at every level. Supporting 45 of the world’s top 50 telecom operators and serving one-third of the global population across more than 170 countries, Huawei is shaping a future where connectivity becomes a powerful catalyst for opportunity and sustainable growth.
This spirit of bold innovation is embodied by Huawei Technologies Switzerland AG. From its research hubs in Zurich and Lausanne, pioneering teams push the boundaries of High-Performance Computing, Computer Architecture, Computer Vision, Robotics, Artificial Intelligence, Neuromorphic Computing, Wireless Technologies, and Networking—architecting the intelligent systems that will define tomorrow’s digital era.
About the role
The Future Storage systems Lab at Huawei Research Center in Zurich is looking for a Researcher to push the frontier of future storage systems. You will conduct cutting-edge research on control theory, developing efficient algorithms which run on-device, and making them predictable and reliable enough to be trusted in a product.
To meet needs of hyperscalers in the big data era, cost-effective storage solutions are required. This is achieved using a tiered storage: Solid-state drives are reserved for performance-critical, frequently accessed data. Hard disk drives (HDD) cost roughly about 3-5× less than SSD, making them the right choice for large, less frequently accessed data. For long-term archive and backup, LTO tape costs 10-20× cheaper than SSD and 3-4× cheaper than HDD, while also providing offline, air-gapped protection and an archival life of up to 30 years.
Your research will be primarily applied to magnetic storage devices. These devices combine physics, signal processing and mechatronics. From a control perspective, they must deliver precise and accurate positioning despite operating in a disturbance-rich and noisy environment. Your role will be to investigate, from a control theory perspective, which technologies can be used to meet the ever-growing performance requirement of magnetic storage devices, and your work will help shape next-generation Huawei warm and cold data storage products.
This is a role for someone who wants to publish at top venues and see their research ship.
Responsibilities:
• Conduct original research aimed at improving magnetic storage devices including, but not limited to, system identification & model validation, state estimation and controller synthesis.
• Transfer research results into Huawei products in close collaboration with product, hardware, and software engineering teams.
• Publish at leading conferences and journals 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 Control Theory, Robotics, Mechatronics, or a related field.
• Experience with advanced feedback and feedforward control methods.
• Experience with nonlinear state estimation.
• Curiosity, independence, and the drive to turn research into real-world impact.
Nice to have:
• Experience with rapid prototyping and dealing with actual hardware (integrating sensors, troubleshooting, etc).
• Experience with developing digital twins.
• Experience with machine learning frameworks combining neural networks and control theory.
Why join us:
• Collaborate with world-class scientists and engineers in an open, curiosity-driven environment;
• Access to state-of-the-art technology and tools;
• Opportunities for professional growth and development;
• Competitive salary and a high quality of life in Zurich, at the centre of Europe;
• Last but certainly not least: be part of innovative projects that make a difference.
- Department
- Future Storage Systems
- Location
- Zürich
- Employment type
- Full-time
- Employment level
- First /Mid-Level Officials