Postdoctoral Fellow – Real-Time Graphics, Simulation, & Interactive Digital Twins Ubicquia Innovation Center for Intelligent Infrastructure (UICII)
Quick Summary
• Ph.D. in Computer Science, Visual Computing, Interactive Media,
Note: Current FAU employees must apply as an internal applicant by logging into their existing Workday employee account.
Florida Atlantic University seeks a highly computational Postdoctoral Fellow to design and implement real-time, photorealistic digital twin environments within the Ubicquia Innovation Center for Intelligent Infrastructure (UICII). This Postdoctoral Fellow position is a 12-month appointment and has the potential for renewal contingent upon performance and funding.
UICII advances production-scale intelligent infrastructure systems deployed across operational campus- and city-scale environments in partnership with municipal and industry collaborators. These deployments generate live data streams and provide a unique foundation for infrastructure-backed digital twins.
This position emphasizes real-time rendering, engine-level architecture, and scalable interactive systems for urban-scale environments.
Responsibilities
~1 min read- →
Architect and implement large-scale, real-time digital twin environments
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Design rendering pipelines for photorealistic urban scenes at campus and district scale
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Develop interactive systems using Unreal Engine or Unity (final platform selection is open)
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Integrate live infrastructure telemetry into real-time visualization environments
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Optimize scene graphs, memory management, asset streaming, and runtime performance
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Contribute to research proposals and peer-reviewed publications
Generative scene synthesis and procedural world-building
AI-assisted asset creation and semantic scene enrichment
Synthetic data generation for perception and simulation
Embedding real-time inference within rendering pipelines
Requirements
~1 min read• Strong C++ and/or C# programming expertise
• Demonstrated experience building complex environments in Unreal or Unity
• Deep understanding of real-time rendering architectures and performance optimization
• Experience designing scalable interactive systems
• Strong computational background
Preferred Qualifications
• Experience with GPU programming, shaders, or advanced rendering techniques
• Experience integrating external APIs or live data streams
• Background in distributed systems or edge-to-cloud architectures
• Experience deploying AI models within interactive engines
This position is open until filled and may close without prior notice.
This position is subject to funding.
All applicants must apply electronically to the currently posted position on the Office of Human Resources' job website (https://fau.edu/jobs) by completing the required employment application for this recruitment and submitting the related documents.
Required Documents:
FAU’s Career Page permits the attachment of required/requested documentation.
PLEASE NOTE: A maximum of five (5) documents may be attached to your application. If more than five (5) documents are required for submission, please combine additional documents into a single attachment to not exceed the maximum permitted.
The site permits the attachment of required/requested documentation. Candidates wishing full consideration are to provide the following: a resume.
Transcripts:
Final candidate will be required to have official, sealed transcripts and original NACES evaluation, if applicable, sent from their educational institution to Human Resources prior to the start of employment.
Background Screening:
Selected candidates must successfully complete and pass all employment screenings prior to the start of employment. Employment screenings may include a criminal background check (level I and level II), motor vehicle check, credit check, reference checks, alcohol, and drug screening check.
Accommodations:
Individuals requiring accommodation, please call 561-297-3057. For communication assistance call 7-1-1.
Location & Eligibility
Listing Details
- Posted
- September 23, 2026
- First seen
- October 2, 2026
- Last seen
- October 2, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 28%
- Scored at
- October 2, 2026
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