Postdoctoral Fellow – Computational Geomatics & 3D Geospatial Systems Ubicquia Innovation Center for Intelligent Infrastructure (UICII)
Quick Summary
• Ph.D. in Geomatics, Spatial Computing, Computer Science,
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 architect the geospatial foundation of campus- and city-scale digital twins within the newly launched 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 real-world environments in partnership with municipal and industry collaborators. These deployments provide a rare opportunity to construct digital twins grounded in operational infrastructure, live data, and scalable computation.
This position is not focused on conventional GIS visualization. It centers on building rigorous, high-fidelity, georeferenced 3D environments that serve as the structural backbone for analytics, simulation, and next-generation interactive systems.
Responsibilities
~1 min read- →
Architect and implement large-scale, georeferenced 3D digital twin models
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Develop computational pipelines for integrating vector, raster, terrain, LiDAR, and photogrammetric data
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Design procedural modeling frameworks for district- and campus-scale built environments
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Produce interoperable assets (e.g., 3D Tiles, glTF, FBX) supporting downstream simulation platforms
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Contribute to research proposals and peer-reviewed publications
ArcGIS Pro
CityEngine
Python-based geospatial processing ecosystems
Cesium and 3D Tiles streaming architectures
Generative procedural urban modeling and rule induction
Semantic enrichment and automated feature extraction
Reconstruction or inference of structural detail from sparse spatial inputs
Integration of foundation or multimodal models into geospatial production workflows
Requirements
~1 min read• Demonstrated expertise in 3D geospatial modeling and computational spatial data processing
• Strong proficiency in Python and scalable data pipeline development
• Experience working with LiDAR, elevation models, photogrammetry, and large spatial datasets
• Evidence of research productivity
Preferred Qualifications
• Experience designing procedural modeling systems
• Familiarity with Cesium, 3D Tiles, or geospatial streaming frameworks
• Experience preparing geospatial assets for real-time or simulation environments
• Background in distributed or high-performance computing systems
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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