Research Intern, Display and Sensor Modeling (PhD Univ Student)

Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities â€" we're just getting started.

Facebook Reality Labs (FRL) is a world leader in the design of virtual and augmented reality systems. The Surreal Vision team at FRL Redmond is looking for exceptional interns to help us create next generation experiences in virtual and augmented reality. Our display and sensor modeling research focuses on the toughest unsolved problems in the field.
Our internships are twelve (12) to twenty four (24) weeks long and we have various start dates throughout the year.

RESPONSIBILITIES

  • Design and implementation of algorithms.
  • Prototyping and building of systems.
  • Collaboration with and support of other researchers across various disciplines.
  • Communication of research agenda, progress and results.
MINIMUM QUALIFICATIONS
  • Pursuing a PhD in Computer Vision, Robotics, Computational Photography or a related field.
  • Must be currently enrolled in a full-time degree program and returning to the program after the completion of the internship
  • Experience with one of the following areas: sensor fusion, state estimation, camera calibration, optical or sensor modeling or similar.
  • Experience in C++ programming.
  • Excellent interpersonal skills, cross-group, and cross-culture collaboration
  • Ability to obtain work authorization in the United States in 2019
PREFERRED QUALIFICATIONS
  • Experience with CUDA/OpenCL.
  • Demonstrated software engineering experience via an internship, coding competition, or widely used contributions in open source repositories (e.g. Github).
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops, conferences and journals such as CVPR, ECCV/ICCV, ICCP, SIGGRAPH, RSS, IJRR, ICRA, 3DV.


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