Studierende finden an der ETH Zürich ein Umfeld, das eigenständiges Denken fördert, Forschende ein Klima, das zu Spitzenleistungen inspiriert.
The ETH Media Technology Center is a place where you will work at the intersection of research and industry applications. Together with our industry partners, we are building the media technologies of tomorrow. To achieve this, the center provides a platform to work on technological innovations at the intersection of media technology, digital journalism, and design. To join our interdisciplinary team, we offer a position as a Postdoctoral Researcher in Computer Graphics.
Together with our industry partner, we are currently exploring how machine learning methods (especially deep neural networks) can change the way we work with images and videos. Our current projects range from image and video personalization using photo-realistic video synthesis and neural rendering methods to context-aware rendering in city-wide AR applications. Besides, we explore how we can build models for the automatic assessment of image and video quality. The close connection to our media partners allows us to develop novel technologies that are directly relevant for media houses world-wide. Direct access to large-scale data sets with real content (videos, images) enables us to explore new opportunities for data-driven methods in computer graphics.
You will be responsible for 1-2 applied research projects with a clear focus on the potential impact for our industry partners. You will be developing new algorithms and systems as well as adapting the state-of-the-art to the specific challenges in the industry. In dialogue with our partners, you will develop novel methods that have a direct impact on the (Swiss) media industry. For this, you will be working closely together with research engineers that will implement your research into software prototypes. You will supervise 1-3 Bachelor and Master students per semester as well as interns supporting the projects. Many of the projects at the center are interdisciplinary and lie at the intersection of machine learning, computer graphics and vision, and natural language processing. You will be working on projects such as video synthesis based on technologies like audio-driven facial reenactment or context-aware rendering of AR content. Projects have clear deliverables and milestones and are decided upon by the media technology center's steering committee.
We look forward to receiving your online application with the following documents:
Please note that we exclusively accept applications submitted through our online application portal. Applications via e-mail or postal services will not be considered.
Further information about the Media Technology Center can be found on our website: .
25-03-2024
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