Research Scientist

The Geospatial Data Analytics (GDA) Lab is establishing a specialized research position focused on high-performance computing, artificial intelligence, and computer vision. Unlike traditional engineering research roles, this position functions as a specialized Research Software Architect, bridging the gap between photogrammetry and modern generative AI.

The Research Scientist will spearhead the development of 3D Gaussian Splatting algorithms, neural rendering pipelines, and city-scale digital twins. A critical component of this role is leveraging Principal Investigator (PI) status to independently pursue and secure extramural funding (NSF, IARPA, Industry). The candidate will operate with a high degree of autonomy, leading technical proposals and architecting the lab’s proprietary software stack.

Required: Resume and Cover Letter

Qualifications

Required: PhD in Civil Engineering, Geoinformation, Computer Science, or a related computational field; 2+ years of research experience in an academic or industrial R&D setting. Demonstrated Scientific Independence: Evidence of the ability to lead research projects and a track record of high-quality peer-reviewed publications. Eligible for PI Status: Demonstrated credentials to serve as a Principal Investigator for externally funded research. Advanced Technical Skills: Expert proficiency in C++ and Python, with experience in modern software development environments (Linux, Docker, Cloud Service Deployment).

Desired: Experience with High-Performance Computing or GPU programming (CUDA). Specialized knowledge of Neural Rendering (NeRF/3DGS) or Satellite Photogrammetry. Demonstrated ability to identify and pursue extramural funding opportunities. Experience leading small research teams or mentoring junior developers.

Term (Fixed Term) 40 First Shift