Postdoctoral Researcher, Perceptual Graphics; PhD
Listed on 2026-01-12
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Science
Research Scientist, Data Scientist
Summary:
Meta is seeking a Postdoctoral Researcher to join the Imaging Experience Architecture (iXA) team. As part of the iXA team, you will have the unique opportunity to interact with the best-in-class architects, scientists, and engineers working to define the future of display. At Meta, our goal is to build products that provide optimal content reproduction for each device. Content fidelity and consistency is critical to the success of Meta devices that feature displays.
To this end, we must architect pipelines that ensure that color rendering appears consistent from device to device, regardless of the capabilities of the display or camera and viewing conditions.
As a Postdoctoral Researcher, you will be experienced in the use and implementation of visual metrics, including reference and no-reference versions. The position is focused on creating and applying novel metrics to specialized problems related to Meta business cases for novel display modes including virtual, augmented and mixed reality (AR/VR/MR). Special focus is given to perceptual modeling, and subjective measurement and validation of different aspects of vision and display, such as stereo, color, high dynamic range, etc.
Postdoctoral Researcher, Perceptual Graphics (PhD) Responsibilities:
Study and understand vision science literature, and use in-depth subject‑matter knowledge to model key aspects of human vision (e.g. stereo, color, contrast and luminance, etc.)
Generate models pertaining to these aspects of vision, including specific adaptations for AR/VR/MR use cases
Perform subjective data collection to extend the state‑of‑the‑art when necessary, as well as to validate the proposed models
Contribute to the formulation of a roadmap for generating metrics and evaluation protocols for problems associated with Meta products
Contribute to solutions for optimizing AR/VR/MR rendering using objective and subjective techniques
Consider power‑efficient techniques subject to platform HW constraints
Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
Currently has or is in the process of obtaining a PhD in computer science, vision science, or related fields, or equivalent practical experience. Degree must be completed prior to joining Meta
Experience with image and video quality evaluation
Experience designing and performing psychophysical experiments
Understanding of perception, including some topics like contrast, luminance, color, stereo, etc
Experience using Matlab, Python, or similar programming languages
Experience working and communicating cross functionally in a team environment
Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
Familiarity with objective and subjective image quality evaluation metrics
Experience using standard lab equipment for camera/display measurement and testing
Familiarity with spatial and temporal perception
Familiarity with stereoscopic visual modeling
Familiarity with AR and VR systems
Familiarity with CIE, ISO and related standards for color
Understanding of the graphics rendering pipeline
Demonstrated software engineering experience
Knowledge of optics, signal processing, mathematical modeling and/or simulation expertise with respect to visual perception and/or systems design
Demonstrated software engineering experience via an internship, work experience, coding competitions or PhD papers
Proven track record of achieving significant scientific results as demonstrated by publications in high‑impact journals or conferences (e.g. SIGGRAPH, CVPR, NeurIPS, etc.)
1+ year of industry experience designing and building image quality evaluation systems for practical applications
$117,000/year to $173,000/year + benefits
Industry:Internet
Equal Opportunity:Meta is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based upon race, religion, color,…
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