About The Position

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.

Requirements

  • Ph.D. in Geomatics, Spatial Computing, Computer Science, or a closely related field
  • 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

Nice To Haves

  • 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

Responsibilities

  • Architect and implement large-scale, georeferenced 3D digital twin models
  • Develop computational pipelines for integrating vector, raster, terrain, LiDAR, and photogrammetric data
  • Design procedural modeling frameworks for district- and campus-scale built environments
  • Produce interoperable assets (e.g., 3D Tiles, glTF, FBX) supporting downstream simulation platforms
  • Contribute to research proposals and peer-reviewed publications

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What This Job Offers

Job Type

Full-time

Career Level

Entry Level

Education Level

Ph.D. or professional degree

Number of Employees

501-1,000 employees

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