PhD Position Information
Position Overview
The Sensing, Interaction & Perception Lab (SIPLAB) at ETH Zürich is hiring an exceptional and motivated candidate for a PhD position in technical Human-Computer Interaction (HCI). This exciting research opportunity focuses on sensor-driven input detection, interaction in Mixed Reality (MR), and advanced text entry modeling using character-level and word-level language models.
The project aims to advance the fields of input detection and MR interaction by leveraging cutting-edge sensor modalities, such as IMU (Inertial Measurement Units), EMG (Electromyography), and EOG (Electrooculography). Your work will contribute to improving text entry efficiency and accuracy while addressing challenges in sensor-driven interaction techniques.
Join ETH Zürich, one of the world’s top-ranking universities in science and technology, and collaborate in an innovative, inclusive, and dynamic research environment.
Eligibility Requirements
We are hiring a candidate with the following qualifications:
- Educational Background:
- Master’s degree in Computer Science, Electrical Engineering, Human-Computer Interaction, Robotics, or a closely related field.
- Technical Expertise:
- Proficiency in programming (e.g., Python, C++, or similar).
- Experience with signal processing, machine learning frameworks, or statistical modeling.
- Familiarity with sensor modalities, including IMU, EMG, EOG, and text entry techniques.
- Research Orientation:
- Proven ability to conduct independent research, as demonstrated by academic projects, thesis work, or publications.
- Communication Skills:
- Fluent written and spoken English, enabling effective collaboration and dissemination of research findings.
- Preferred Qualifications (optional but advantageous):
- Experience in designing and conducting user experiments or usability testing.
- Familiarity with natural language processing or state estimation techniques.
Responsibilities
As a PhD candidate, you will:
- Research and Development:
- Develop algorithms for sensor-based input detection and text entry using language models.
- Design and implement systems that leverage sensor data from IMU, EMG, and EOG for advanced MR interactions.
- Experimentation and Evaluation:
- Conduct user studies to evaluate the usability and performance of input detection methods.
- Address challenges such as uncertainty in sensor signals to ensure robust and seamless interactions.
- Collaboration and Dissemination:
- Work with a multidisciplinary team of experts in HCI, machine learning, robotics, and signal processing.
- Publish findings in top-tier HCI journals and conferences and present at international events.
- Teaching and Mentorship:
- Supervise or mentor undergraduate and Master’s students in related projects, fostering academic development.
What We Offer
At ETH Zürich, you will enjoy:
- Innovative Research Environment:
- Become part of SIPLAB, a leading research group in HCI, signal processing, robotics, and prototyping.
- Collaborate with internationally recognized researchers and institutions.
- Professional Development:
- Opportunities to publish in top-tier venues and present findings at global conferences.
- Access to state-of-the-art experimental and computational resources.
- Supportive Academic Culture:
- Work in an inclusive, diverse, and collaborative environment that encourages excellence and independent thinking.
Application Process
Required Documents:
- Project Description: A brief summary of your most relevant past projects.
- Curriculum Vitae (CV): Highlight your academic achievements and relevant experience.
- University Transcripts: Provide records of your undergraduate and Master’s degrees.
- References: Contact details of at least two academic referees.
Submission: Applications must be submitted exclusively through the official ETH Zürich application portal. Applications via email or postal services will not be considered.
Deadline: Applications will be evaluated on a rolling basis. The position will remain open until filled.
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