Senior Geospatial Research Professional

Requisition Id 12518 

Overview:  

 

As a U.S. Department of Energy (DOE) Office of Science national laboratory, Oak Ridge National Laboratory (ORNL) has an extraordinary 80-year history of solving the nation’s biggest problems. We have a dedicated and creative staff of over 6,000 people! Our vision for diversity, equity, inclusion, and accessibility (DEIA) is to cultivate an environment and practices that foster diversity in ideas and in the people across the organization, as well as to ensure ORNL is recognized as a workplace of choice. These elements are critical for enabling the execution of ORNL’s broader mission to accelerate scientific discoveries and their translation into energy, environment, and security solutions for the nation.

The Geospatial Science and Human Security Division (GSHSD) is seeking qualified applicants for a Geospatial Research Professional position within our Geomatics Group (GG). We seek to hire qualified candidates to support cartography, photogrammetry, geodesy, and 3D computer vision research initiatives with emphasis on satellite geopositioning and terrain extraction. Under the guidance of research staff, the selected applicant(s) will take roles on multidisciplinary teams supporting ground breaking research and engineering with large-scale distributed geospatial workflows that require GPU-based high-performance computing (HPC) across multiple network domains.

 

Major Duties/Responsibilities: 

This role focuses on the design and implementation of cartography, photogrammetry, geodesy, and 3D computer vision algorithms to support high-volume and high-throughput scientific data applications, primarily with remote sensing sensors. The proposed solutions will include GPU-based HPC solutions that can be applicable for several geospatially focused research and development projects in energy, transportation, national security, and other cross-disciplinary geospatial domains. Responsibilities include, but are not limited to:

• Contribute to the research, development, and production of workflows using remote sensing imagery.
• Implement, enhance, and/or develop novel algorithms for large-scale geospatial workflows suitable for GPU-based acceleration in HPC or cloud environments.
• Collaborate in a team environment with multi-disciplinary technical staff.
• Communicate to broader technical community through scholarly products such as patents, papers, proposals, presentations, and reports.

All team members deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote diversity, equity, inclusion, and accessibility by fostering a respectful workplace – in how we treat one another, work together, and measure success.

 

Basic Qualifications:

• Ph.D. with a minimum of 6 years of relevant experience, or an M.S. degree with 12 years of relevant experience. field. An equivalent combination of skills and experience may be considered.
• A proven track record of scholarship (e.g. publications, patents, copyrights, etc.).
• Experience with geographical information systems (GIS).
• At least 2 years of experience developing software and/or hardware related to cartography, photogrammetry, geodesy, image processing, or computer vision.

 

Preferred Qualifications:

• Excellent interpersonal skills with a demonstrated leadership ability and a strong dedication to a teaming environment. 
• Strong written and oral communication skills. 
• Experience with stereo imagery, LIDAR, and other 3D sensing capabilities.
• Proficient in a Linux OS environment.
• Familiarity with the basics of machine learning and HPC.
• Experience with one or more of the following languages: C/C++, Python, R, C#, Java.
• Experience with the following software: Socet GXP, ENVI, or Pix4D.
• Ability to work independently with minimal direction.
• Highly motivated to learn new topics and skills and develop innovative products.

 

Special Requirements:

 

Visa Sponsorship:

Visa sponsorship is not available for this position.

 

Q clearance with SCI: This position requires the ability to obtain and maintain a Secret Compartmented Information (SCI) clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program.  In addition, due the SCI, you may also be subject to random polygraph testing.  

 

Benefits at ORNL:  

ORNL offers competitive pay and benefits programs to attract and retain talented people. The laboratory offers many employee benefits, i