PhD Candidate in Input Detection for Augmented Reality via Learning-based EMG/EOG/EEG Event Detection

PhD Position: Input Detection for Augmented Reality via Learning-based EMG/EOG/EEG Event Detection

100%, Zurich, Fixed-term

The Sensing, Interaction & Perception Lab invites applications for a PhD position in Computational Interaction, focusing on sensor-based input detection for Augmented and Mixed Reality. This research combines physiological time series analysis (EEG, EMG, EOG), machine learning, and real-time system design for intelligent interaction systems. Ideal candidates should have a background in Computer Science, Electrical Engineering, or Robotics, along with prior experience in event detection in differential recordings.

Project Background

Emerging AR/VR interfaces are limited by the input modalities they rely on. This project aims to explore sensor-based approaches, starting with EEG and later incorporating EMG/EOG, to detect user input and intent. We will investigate how sensed differential signals can be leveraged for input, interaction, and adaptive control in Mixed Reality (MR) environments. Key challenges include signal denoising, robust event detection, and modeling shifts across sessions and users.

Job Description

• Develop machine learning pipelines for EEG/EMG/EOG time series processing, with a focus on event detection and real-time interaction.
• Investigate distribution shifts in physiological data and apply continual learning or transfer learning approaches.
• Design and conduct controlled experiments for data collection in lab and AR environments.
• Collaborate on building interactive prototypes and validating input systems in AR/VR with an interdisciplinary research team.
• Disseminate findings through publications at top-tier venues and open-source your research tools.
• Present research findings at academic conferences, workshops, and seminars.

Profile

ETH Requirements:

• Written and spoken fluency in English.
• An excellent master's degree (MSc., M.Eng. or equivalent) in Computer Science, Electrical Engineering, Robotics, or a related field.

Requirements for the Position:

• Solid knowledge of machine learning, particularly for time series analysis and event detection.
• Strong programming skills in C#, C++, or .NET-based languages (in addition to Python).
• Experience with differential signals (EEG, EMG, EOG, or similar).
• Familiarity with experimental design and empirical validation methods.
• Optional but useful: prior experience with AR/VR and Unity/Unreal.

Beneficial Skills:

• Background in online learning or adaptive systems.
• Familiarity with Unity, AR/VR development, or real-time interfaces.
• Experience conducting user studies.
• Knowledge of biosignal acquisition hardware, or having built your own EEG/EMG/EOG sensing setup.

Workplace

We offer an exciting environment and team for your studies and research. Beyond the lab, ETH Zürich hosts several internationally recognized research groups dedicated to interactive systems, Human-Computer Interaction, AR/VR, health, and machine learning. Our research often involves collaboration with various groups, departments, and institutions in Switzerland and abroad.

During your PhD, you will have the opportunity to contribute to and collaborate with the ETH AI Center and engage with ETHAR, ETH's Research Hub for Augmented Reality, in partnership with Google XR.

We Value Diversity

In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity, and nurture a respectful working and learning environment for all staff and students. Visit our Equal Opportunities and Diversity website to learn how we create a fair and open environment that allows everyone to thrive.

Curious? So are we.

Apply online using the form below.

Only applications matching the job profile will be considered.

About ETH Zürich

ETH Zurich is one of the world's leading universities specializing in science and technology. We are renowned for our excellent education, cutting-edge fundamental research, and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university a place that promotes independent thinking and inspires excellence. Located in the heart of Europe, we forge connections globally to develop solutions for today’s and tomorrow’s global challenges.