PhD Position in Wearable Sensors, ETH Zurich, Switzerlands

PhD Position in Wearable Sensors: Embark on a cutting-edge research journey as a PhD student at ETH Zurich’s Sensing, Interaction & Perception Lab. This fixed-term position focuses on multi-modal signal processing for learning-based input decoding from wearable sensors, including IMUs, eye gaze, microphones, EMG, and PPG. Contribute to the development of novel recognizers and interaction techniques, exploring user interactions with these interfaces.

PhD Position in Multi-modal Input Decoding from Wearable Sensors (Human-Computer Interaction, Augmented Reality)

Summary Table: | Position | PhD student | | Duration | Fixed-term, 100% | | Location | Zurich | | Salary | € 2,770 – € 3,539 (gross/monthly) | | Application Deadline | Rolling Basis |

Study Area: Delve into the realm of multi-modal signal processing, focusing on wearable sensors and AI-driven technology. Explore the analysis of signals from IMUs, eye gaze, microphones, EMG, and PPG, contributing to the evolution of user-device interactions. Applications of the developed interactions and detection techniques will be in Augmented Reality, Virtual Reality, and mobile computing.

Scholarship Description: This PhD position involves a comprehensive exploration of machine learning techniques for signal and time series analysis. Develop methods for machine learning-based signal processing, computational interaction, and technique development for input decoding. Contribute to the state-of-the-art efforts in active learning, transfer learning, and online learning, with applications in Augmented Reality and mobile scenarios.

Eligibility:

• Written and spoken fluency in English.
• Excellent master’s degree (MSc., M.Eng. or equivalent) in Computer Science or Electrical Engineering.
• Strong interpersonal and communication skills.
• Experience in signal processing or machine learning for time series.
• Understanding of multimodal data processing.
• Optional: Sensing/electrical engineering background for signal acquisition.
• Optional: Computational Interaction/Bayesian Input Decoding.
• Optional but useful: Experience in 3D programming (Unity/C#, Unreal Engine, …).

Required Documents:

1. Short motivation letter (≤ 1 page).
2. Curriculum vitae (PDF).
3. University transcript of records (bachelor’s and master’s).
4. Short overview of experiences with multi-modal signals.
5. Short overview of experiences with machine learning.
6. If available: Short overview of experiences in computational interaction.
7. Contact details of 1–2 academic referees.
8. A link to your GitHub profile and/or your portfolio/website.

How to Apply: Submit your complete application through the online application portal provided in the post. Note that applications via email or postal services will not be considered. Evaluation of applications will be on a rolling basis, and the position is available until filled. The anticipated start date is in Spring 2024.

Last Date: Rolling basis – Apply as soon as possible. The position will be filled promptly, and the job ad will be delisted once the position is occupied.

For further inquiries, contact siplab-recruiting@inf.ethz.ch.

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