Research Scientist Intern, Body Capture, Reconstruction and Understanding (PhD)

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Research Scientist Intern, Body Capture, Reconstruction and Understanding (PhD)
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The Facebook Reality Labs (FRL) Research Team brings together a world-class team of researchers, developers, and engineers to create the future of AR and VR, which together will become as universal and essential as smartphones and personal computers are today. We are developing all the technologies needed to enable breakthrough AR glasses and VR headsets, including computer vision, graphics, body tracking, perception science, and true telepresence. The Virtual Humans team in Sausalito, CA, Redmond, WA and Zurich work on cutting-edge research and development focusing on virtual people and presence. We envision a world where people connect across vast distances so our roles focus on capturing, evaluating and modeling the full human body shape and motion. We are currently seeking innovative interns with a passion for technology to develop the next generation of virtual humans.
Research Topics:
* Virtual humans, avatar creation * Full body capture, understanding and reconstruction including dynamic deformations of soft tissues, cloth and hair * Markerless motion capture, body shape inference, dense correspondence learning * Neural representations and deep implicit models * Multi-view stereo reconstruction, dynamic surface reconstruction, non-rigid registration * Deep learning applied to image, depth and 3D data * Realistic rendering, perceptual evaluation
Research Scientist Intern, Body Capture, Reconstruction and Understanding (PhD) Responsibilities
  • Design and execution of algorithms
  • Investigate, design and develop novel algorithms in areas such as body capture, tracking, reconstruction, semantics, generative models for clothed humans and deformable objects (soft tissue, clothes, hair)
  • Prototyping, building and analysis of experimental systems
  • Collaboration with and support of other researchers across various disciplines
  • Communication of research agenda, progress and results
Minimum Qualifications
  • Currently has, or is in the process of obtaining a PhD in Computer Vision, Graphics, Machine Learning, Robotics, or related field
  • Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
  • Must be available for 3 to 6 month internship between January 1, 2022 and December 31, 2022
  • Interpersonal skills: cross-group and cross-culture collaboration
  • Experience with computer vision, deep learning, 3D geometry and/or linear algebra
  • 2+ years of experience with C, C++, and/or Python
Preferred Qualifications
  • Intent to return to degree-program after the completion of the internship
  • 2+ years of experience with one or more of the following areas: developing models for neural human reconstruction, human body learning, dynamic shape representation, numerical optimization, deep learning
  • Proven track record of achieving results as demonstrated in accepted papers at top computer vision, graphics, machine learning or robotics related journals and conferences such as CVPR, ICCV, ECCV, NeurIPS, SIGGRAPH, ICRA, etc
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About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
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