Research Scientist Intern, Neural Rendering, Digital Avatars (PhD)

Description

The Reality Labs Research (RL-R) Team in Zurich, CH is looking for research interns to tackle the most ambitious problems in the creation of digital avatars. In this internship, we aim to build a neural renderer that delivers high-quality avatar appearance under a wide range of body motions and face expressions. We plan to leverage pre-trained generative models with additional controls over body pose, face expressions and hair motion, and work towards generation of 4D-consistent avatars. We envision a world where people connect across vast distances so our roles focus on generation and modeling avatars with a highly detailed appearance. As part of our team you will explore new ways of generating controllable avatars and will be able to leverage high-quality captures and/or synthetic data to go beyond existing state-of-the-art approaches. Our internships are sixteen (16) to twenty four (24) weeks long and we have various start dates throughout the year. Research Topics: *Virtual characters, animatable avatar creation *Controllable video generation *Real-time neural rendering

Responsibilities

Develop novel algorithms in areas such as controllable avatar generation, and temporally- and view-consistent neural rendering. Collaboration with and support of other researchers across various disciplines. Communication of research agenda, progress and results. If successful, write up results for possible publication.

Qualifications

Currently has, or is in the process of obtaining, a PhD in the field of Computer Science, Computer Vision, Machine Learning or related field Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment Understanding of computer vision/graphics, 3D geometry, neural rendering, human modeling Experience with deep learning frameworks like PyTorch Knowledge of state-of-the-art human face and body representations Experience with fine-tuning of generative models Intent to return to degree-program after the completion of the internship Proven track record of achieving significant results as demonstrated by publications at leading conferences such as CVPR, ECCV/ICCV, NeurIPS, SIGGRAPH, or similar