Meta AR/VR Job | Research Scientist Intern, Point Cloud/Light Field Compression Research (PhD)
Job（岗位）: Research Scientist Intern, Point Cloud/Light Field Compression Research (PhD)
Type（岗位类型）: 3D Software Engineering, Computer Vision, Engineering, Machine Learning, Research
Citys（岗位城市）: Redmond, WA
Date（发布日期）: Before 2021-12-14
Summary（岗位介绍）
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.
The focus of our team is on compression of graphics assets for efficient storage and transmission for AR / VR systems. For this position, research areas focus on methods to compress Point Clouds and/or Light Field data that’re either acquired through sensors or rendered by graphics pipelines. We intend to research state-of-the-art methods that may involve a combination of traditional image and video compression methods as well as Learning-based compression techniques.
FRL offers internships ranging from twelve (12) to sixteen (16), or twenty-four (24) week periods. We encourage submitting papers to high-ranked computer graphics conferences and journals based on the results of the internship.
Qualifications（岗位要求）
Currently has, or is in the process of obtaining, a PhD degree in the field of Image and Video Processing, Signal Processing, Information Theory, Machine Learning, Computer Graphics, or related field.
3+ years of coding experience in C/C++ and/or Python.
2+ years of experience in image and video processing.
Interpersonal experience: cross-group and cross-culture collaboration.
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as ICIP, DCC (Data Compression Conference), CVPR, IEEE Transactions or Letters, ACM SIGGRAPH, etc.
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
Description（岗位职责）
Explore issues involved in processing, compressing and streaming point cloud and light field data.
Identify, with assistance of the mentor(s), opportunities for significantly improving compression efficiency and/or quality.
Work with peers to build a working prototype of the proposed algorithm.
Communicate ongoing research progress and final results.
Additional Requirements（额外要求）
Intent to return to a degree-program after the completion of the internship/co-op.
Knowledgeable about applications related to point clouds and light fields.
Knowledgeable about existing image and video codec standards (H.26x, VPx, JPEG, etc).
Knowledgeable about existing Point Cloud compression standards (MPEG PCC).
Knowledgeable about Learning-based compression.
