Research Scientist: Photorealistic 3D Scene Rendering (PhD), Zürich (Kreis 11)

We are looking for an exceptional researcher with a proven track record in using machine learning for solving computer vision and graphics problems (e.g., neural rendering, radiance field reconstruction, novel view synthesis, generative models for images and videos, ML-based scene generation) as well as an outstanding software engineer who can prototype invented algorithms.Research Scientist, Photorealistic, Large-Scale Scene Representations (PhD) Responsibilities Participating in cutting edge research in neural 3D modeling and rendering, computer vision, and graphics Developing efficient deep neural network models for 3D content generation and tracking Contributing research that can be applied to Meta VR/AR product developmentMinimum Qualifications Currently has, or is in the process of obtaining, a PhD and/or postdoctoral assignment in the field of computer vision, computer graphics, machine learning or a related field Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining MetaExperience with neural rendering, novel view synthesis, 3D reconstruction, computer graphics. Interpersonal experience: cross-group and cross-culture collaboration Interpersonal experience: cross-group and cross-culture collaboration Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employmentPreferred Qualifications Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading conferences (e.g., SIGGRAPH, CVPR, ECCV, ICCV, NeurIPS, ICLR, ICML) or journals (e.g., PAMI, IJCV, JMLR, ToG) 3+ years experience designing and developing computer vision or machine learning algorithms in C++3+ years of experience with prototyping algorithms in Python Experience with neural rendering approaches such as NeRF, Gaussian Splatting, Image-based 3D Reconstruction and Relocalisation Experience in 3D computer vision, graphics, and deep learning models for this domain Demonstrated software engineer experience via previous internships, work experiences, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)

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