Research Scientist – AI for Wearables

Zürich - Switzerland

Monthly Salary: Not Disclosed

Posted on: 4 hours ago

Vacancies: 1 Vacancy

Job Summary

Huaweis 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 worlds 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 180000 employees over 80000 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 youre passionate about AI computing and solving challenging problems through innovation youll 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 humancomputer 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. 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 humancomputer 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:

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 center of Europe;
Last but certainly not least: be part of innovative projects that make a difference.

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. 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 humancomputer 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:

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 center of Europe;
Last but certainly not least: be part of innovative projects that make a difference.