Job Description

Visiting Research Scientist, Computational Cameras and Displays

Facebook Reality Labs is seeking a Visiting Research Scientist to join the Display Systems Research (DSR) team at FRL, whose work spans VR headsets, new types of computational displays, complex experimental systems, and AI-driven graphics. Individuals in this role are expected to be recognized experts in computational imaging/photography. Term length will be considered on a case-by-case basis and is often fulfilled during a faculty leave of absence or sabbatical term.

• Conceive and develop novel approaches for 3D acquisition and display that can be applied to virtual and augmented reality systems and subsystems, such as displays
• Collaborate with team members to implement proof-of-concept prototypes that redefine the state-of-the-art in virtual and augmented reality
• Contribute research to grow expertise within Facebook/Oculus and the wider industry through demos and publications

• A PhD degree in Computer Science, Optical Science, Electrical Engineering, or related fields
• Currently holding a faculty position with intention of returning after conclusion of contract
• Publications demonstrating contributions to areas such as computational cameras and displays, scene reconstruction, compressive sensing, phase retrieval, and related topics
• 5+ years experience with scientific programming languages such as Python, MATLAB, or similar
• Work demonstrating cross-group and cross-culture collaboration
• Proven track record of achieving significant results, as demonstrated by grants, fellowships, patents, or first-authored publications at leading conferences and journals (e.g., SIGGRAPH, CVPR, OSA, and SPIE)
• Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

• Experience in adjacent optics and rendering topics, including holography and light transport simulations
• Experience mentoring junior researchers within academic or industrial organizations
• Experience with modern deep learning frameworks (e.g., TensorFlow or PyTorch)

Oculus is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, genetic information, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.

Oculus is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected] .