Studierende finden an der ETH Zürich ein Umfeld, das eigenständiges Denken fördert, Forschende ein Klima, das zu Spitzenleistungen inspiriert.
We will develop novel methods to generate sensors that conform to curved surfaces, thereby imbuing real-world objects with the capability of becoming sensitive to user input to inform novel smart embedded devices that can adapt to user behavior during direct and indirect use. We will develop methods in fabrication, geometric processing, and surface parametrization as well as simple methods to detect and infer understand user input.
At the (Prof. Christian Holz), we are looking for a PhD candidate with an interest in conducting cutting-edge research, with a strong motivation to work on challenging topics, and a strong desire to learn.
Many sensing approaches today are limited to planar surfaces, such as those on touchscreens, tables, displays, or walls. While cameras allow surfaces with arbitrary shape to become sensitive to user input, they are limited to stationary settings. A large challenge is in creating sensor surfaces that are non-planar, while keeping parametrization properties that can be defined depending on intended use. Therefore, we require novel geometric processing methods to develop surface-conforming overlays that integrate sensor configurations known from planar setups. This will enable arbitrary objects to be augmented with the functionality that has become common in smart devices.
You should have a background in Computer Science, Electrical Engineering, Robotics, Bioengineering, or Mechanical Engineering. Most importantly, you should have experience in:
If available, you should include a link to their portfolio, such as
Prior experience in conducting research is a plus including prior publications.
We offer an exciting and stimulating environment to study and work in. In the SIPLAB at ETH Zürich, we are an international and cross-disciplinary research group working across computational interaction, physical computing, applied computer vision, wearable sensing, and mobile health. We bring together skills and experience from Computer Science, Electrical Engineering, Robotics, Mechanical Engineering, and Biomedical Engineering. We are part of the Department of Computer Science and affiliated with the Department of Information Technology and Electrical Engineering and collaborate with several other research groups, which are internationally recognized in computer graphics, fabrication, sensing systems, and machine learning. We also collaborate with several other institutions and companies in Switzerland and abroad. We publish our research at the top venues in technical Human-Computer Interaction, Ubiquitous Computing, Graphics, and Computer Vision.
For an overview of our projects, learn more about:
If you are interested in joining our team, please submit your complete application through the online application portal, including:
Applications will be evaluated on a rolling basis. Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.
21-03-2023
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