Huawei Canada has an immediate 12-month contract opening for a Researcher.
About the team:
Established in 2014, the Distributed Scheduling and Data Engine Lab is Huawei
Cloud's technical innovation center in Canada. The lab focuses on researching
and developing advanced cloud technologies, supporting the productization and
iterative optimization of its technical achievements. Current research areas
include cloud native databases, infrastructure resource scheduling and
prediction, cloud-native middleware, media engines, and user experience studies.
The lab fosters a robust technical environment, allowing collaboration with
industry experts to create a highly competitive cloud platform.
About the job:
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Lead research into state-of-the-art cloud rendering techniques particularly
multiscale simulated physically-based material dataset rendering.
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Develop and implement novel multiscale material modeling and simulation
algorithms to enhance our simulated material database.
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Execute research projects efficiently, adhering to defined tasks, timelines,
and milestones.
About the ideal candidate:
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3+ years of research experience in physically-based rendering and multiscale
computational simulation of advanced materials. This includes, but is not
limited to, expertise in machine learning for real-time rendering for
material, AI-accelerated rendering algorithms(materials), and computational
electromagnetic modeling and simulations for the material database.
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A strong publication record with at least three research papers, preferably
including one in a top-tier journal or conference (e.g., SIGGRAPH, SIGGRAPH
Asia, Eurographics, HPG).
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At least 1 year of experience implementing AI/machine learning techniques
within physically-based rendering pipelines.
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Demonstrated innovation, focus, and results-orientation, coupled with strong
self-motivation and resourceful problem-solving abilities.
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Excellent interpersonal, networking, and communication skills.
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Research background in neural material and cloth rendering, or experience
with simulated material studies is an asset.
The target annual compensation (based on 2080 hours per year) ranges from
$85,000 to $184,000 depending on education, experience and demonstrated
expertise.
