Huawei’s vision is to enrich life through communication and intelligent innovation.
We are a fast-growing global leader in information and communications technology (ICT), driving breakthroughs in AI, cloud computing, and smart device technologies. Through our three major business groups — Carrier, Enterprise, and Consumer — we provide advanced network infrastructure, cloud and AI computing platforms, and industry-leading devices such as smartphones, tablets, watches and so on.

Our technologies power 45 of the world’s top 50 telecom operators, and one-third of the global population benefits from Huawei innovations. With operations in over 170 countries and a global workforce of more than 180,000 employees — over 80,000 of whom are engaged in research and development — we are deeply committed to pushing the boundaries of technology.

At Huawei, you will be part of a dynamic, diverse, and inclusive environment, collaborating with talented professionals from over 150 nationalities. We actively invest in and reward talent. If you're passionate about AI, computing, and solving challenging problems through innovation, you'll find unparalleled opportunities to grow, lead, and make global impact with us.

We are looking for Research Scientists and Engineers with strong expertise in wearable sensing, micro hand gesture recognition, and health monitoring to join our multidisciplinary research team in Zurich. You will work at the intersection of AI, signal processing, and human–computer interaction, shaping the next generation of intelligent wearable technologies that enable natural, intuitive, and health-aware interaction with devices such as smartwatches, earbuds, and XR glasses.

Key Responsibilities

• Conduct cutting-edge research in micro hand gesture recognition using multimodal wearable signals (e.g., IMU, EMG, PPG).
• Develop innovative algorithms for continuous health monitoring, including motion analysis, stress detection, and physiological state estimation.
• Design and prototype novel interaction paradigms for wearables that combine gesture sensing with contextual AI.
• Collaborate with cross-disciplinary teams in machine learning, computer vision, and human factors to bring research into product-ready solutions.
• Publish high-impact research results in top-tier journals and conferences (e.g., UIST, NeurIPS, CVPR, ICRA).

Qualifications

• Ph.D. or M.Sc. in Computer Science, Electrical Engineering, Biomedical Engineering, or related field.
• Strong background in Machine Learning, Signal Processing, Sensor Fusion, and/or Biomedicine.
• Experience with wearable sensing systems, including IMU, EMG, PPG, ECG, or other biosignals.
• Solid understanding of human–computer interaction (HCI) or activity recognition.
• Proficiency in Python, PyTorch, or embedded ML frameworks.
• Excellent publication record or demonstrated ability to turn research into impactful prototypes.

Preferred Experience

• Prior research or product experience in gesture or activity recognition using wearable or near-body sensors.
• Familiarity with low-power sensing, on-device AI, or edge inference.
• Experience in health signal analytics (heart rate variability, respiration, sleep, stress).
• Passion for designing human-centric intelligent systems.

Why Join Us

• Work on impactful, product-facing research that reaches millions of users
• Collaborate with world-class scientists and engineers in an open, curiosity-driven environment.
• Access to cutting-edge wearable hardware and sensor platforms.
• Competitive salary, and a high quality of life in beautiful Zurich.