Postdoctoral Research Fellow

3 days ago


Dublin, Dublin City, Ireland Graphics and Vision Lab at Trinity College Dublin Full time

About the Team

The Graphics and Vision Lab at Trinity College Dublin is a dynamic and interdisciplinary research team that conducts cutting-edge research in computer graphics, computer vision, and visual computing.

We are committed to innovation and excellence, and we are looking for a talented researcher to join our team and contribute to the development of Extended Reality (VR, AR, MR) creation tools and experiences of the future.

The successful candidate will have the opportunity to work with multidisciplinary partners and contribute technical efforts towards several activities, including:

  • The development and evaluation of tools that will enable story creators to produce novel XR media experiences, focusing on 3D capture of humans.
  • Research state-of-the-art techniques in Computer Graphics, AI, and Computer Vision for the analysis and processing of volumetric video and human motion data, to enhance the properties of such data and allow better usage and integration with established content creation pipelines.

Responsibilities: The researcher will work on the following tasks:

  • Developing and evaluating tools that will enable story creators to produce novel XR media experiences, focusing on 3D capture of humans.
  • Researching state-of-the-art techniques in Computer Graphics, AI, and Computer Vision for the analysis and processing of volumetric video and human motion data, to enhance the properties of such data and allow better usage and integration with established content creation pipelines.

Qualifications: The candidate should have a Master's or PhD in Computer Science or a closely related discipline with at least one year of experience conducting research in one or more of the following areas: 3D Computer Graphics, Computer Vision, Deep Learning; high level of experience and proficiency in Python, C/C++, and Linux; some experience of Extended Reality technologies, motion capture data, and volumetric video.



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