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PhD Position in Visual Computing and; Self-calibration XR devices

Job in Zürich, 8058, Zurich, Kanton Zürich, Switzerland
Listing for: Eidgenössische Technische Hochschule Zürich
Full Time position
Listed on 2026-01-08
Job specializations:
  • Business
    Data Scientist, Computer Science
Salary/Wage Range or Industry Benchmark: 30000 - 80000 CHF Yearly CHF 30000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: PhD Position in Visual Computing and (Self-)calibration for XR devices
Location: Zürich

PhD Position in Visual Computing and (Self-)calibration for XR devices

The Computational Design Lab is an interdisciplinary research group at ETH Zurich, led by Prof. Dr. Bernd Bickel. We develop novel algorithms and next-generation computational systems for interactive design, geometry processing, spatial computing, creative AI, and computational fabrication.

Project background

We are seeking a curious and motivated PhD student to join the Computational Design Lab and work at the interface of computer vision, computer graphics, hardware, and extended reality. The project is part of ETHAR, a new research initiative at ETH Zürich focused on advancing Augmented Reality, supported by a Google donation. It aims to develop new methods and systems for the calibration of XR devices and will be supervised by Prof.

Dr. Bernd Bickel and Prof. Dr. Marc Pollefeys.

  • Design, develop, and evaluate methods, algorithms, and systems for a novel online calibration framework that leverages deep learning to fuse data from IMU, cameras, and eye-trackers.
  • Train models on a high-fidelity digital twin and explore neural methods to infer key attributes, including camera parameters, from in-the-wild sensor data, creating a system that continuously adapts to perturbations and user context without manual setup.
  • Execute the typical scientific research workflow: identify problems, review literature, design and develop systems, conduct experiments, and publish findings at top venues.
  • Participate in periodic meetings and feedback sessions to ensure the success of the degree and the project.
  • The position is available from February 2026, with some flexibility.
Profile
  • Strong interest and motivation to contribute to the project’s goals.
  • Outstanding academic record, including an excellent Master’s degree in Computer Science, Engineering, or related fields.
  • Demonstrated experience in at least one of the following:
    Computer Vision, Computer Graphics, Computational Imaging, VR/AR Displays & Wearables, Deep Optics.
  • Excellent problem‑solving abilities and passion for research.
  • Strong programming skills; proficiency with differentiable simulation frameworks is a plus.
  • Excellent verbal, written, and visual communication skills in English.
Workplace & Benefits
  • An intellectually challenging position within an interdisciplinary team and the prospect of obtaining a PhD degree from ETH Zurich.
  • Impactful work: contribute to projects that advance society and share in ETH Zurich’s reputation for excellence.

We encourage an inclusive culture and promote equality of opportunity. We value diversity, nurture a respectful environment, and strive for a climate‑neutral future. For more information visit our Equal Opportunities and Diversity website.

Application Process

Please submit a single merged and compressed PDF file, including the following documents in exactly this order:

  • Cover letter detailing your research motivation, interests, and experience.
  • Academic transcripts of all degrees in English (Bachelor’s and Master’s).
  • Three professional reference contacts, including an email and direct phone number.
  • A publication or thesis work sampling your academic reasoning and writing.

Name the PDF file using the application date (YYMMDD) followed by your last name and first name; e.g., “.”

We exclusively accept applications submitted through our online application portal; applications via email or postal services will not be considered.

Questions regarding the position should be directed to Mr. Fábio Porfírio at fabiopo (no applications).

We would like to point out that the pre‑selection is carried out by the responsible recruiters and not by artificial intelligence.

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