Mapping Tennessee
Geospatial Research and Development Scientist
Posted on January 13th, 2015

​ORNL Publications
External Publication
Job Posting Title
Geospatial Research and Development Scientist / NB50469279
Posted Date
End Posting Date

The Geographic Information Science and Technology (GIST) Group in the Computational Sciences and Engineering Division (CSED) at the Oak Ridge National Laboratory (ORNL) seeks to hire a Geospatial Research and Development Scientist. The function of this position is to provide advanced scientific and software engineering support to a large number of geospatial research and development projects that span a wide variety of domains, applications, delivery platforms, programming languages, and hardware and software architectures. While the primary subject matter expertise of the candidate must be in the areas of computer vision, image science, machine learning, remote sensing, and high performance computing, they must also be able to operate within the broader Geographic Information Science domain on tasks like enhancing/adapting/porting existing spatially-focused data processing algorithms so that they can run at scale within an HPC environment. The candidate must be comfortable working as part of a tightly integrated team and must be capable of supporting multiple projects simultaneously.

Major Duties/Responsibilities
Responsibilities include, but are not limited to:
• Conducting research and algorithm development in the areas of computer vision, image science, machine learning, remote sensing, and high performance computing. Experience with image registration, photogrammetry, 3D scene reconstruction, and point cloud data analysis is desired.
• Geospatial software development that enables scalable and high performance multimodal data management, analysis, and visualization across desktop, mobile, and enterprise systems.  Must be able to work with and add to existing code bases that may or may not originate from within the GIST group.
• Technical leadership of geospatial research and software engineering efforts tied to multiple projects, including the implementation of and adherence to Agile processes.
• Working with GIST researchers, as well as internal and external project sponsors, to capture, understand, integrate, and implement their requirements in developed algorithms and software, as well as contribute to publications and funding proposals as needed.
• Assisting in new research program development and implementation
• Mentoring of interns, postgraduates, and junior staff

Qualifications RequiredMinimum Qualifications Required:
• Ph.D. degree in computer science, electrical engineering, or related discipline and a minimum of 2 years of experience, or a Master’s degree in one of the aforementioned disciplines and a minimum of 7 years of experience.
• 5-10 years of direct software development experience is required.
• Past hands-on involvement in and direction of significant image processing, environmental, mapping, remote sensing, or computing projects is required.
• Experience with building desktop, web-based, and server-side applications is required.
• Experience with Linux and Windows operating systems is required, experience with OS X is desired. The ability to work from the command line is essential.
• Experience with image and point cloud processing applications and libraries is required. Examples include: ENVI/IDL, MATLAB, OpenCV, OSSIM, Opticks, IMAGINE, and Point Cloud Library.
• Experience with parallel and distributed computing architectures including OpenMP, MPI, CUDA, OpenACC, OpenCL, and Apache Hadoop is required.
• Experience with a majority of the following languages is required: Java, JavaScript, C/C++, IDL, MATLAB, Python, R, PHP.
• Experience with geospatial file formats and interoperability standards is required (e.g., NITF, JPEG2000, LAS, SICD, MISB,
OGC web services).
• Knowledge of a majority of the following subjects is required: spectral image processing, point cloud data processing, full-motion video analysis, SAR data processing, GIS and remote sensing method and theory, spatial modeling and statistics, geocomputational methods and algorithms, geospatial data management, computer vision, photogrammetry, and  geospatial data visualization.
• Excellent communication (oral and written), strategic planning, business development, organization, leadership, and decision-making skills. Strong interpersonal skills and working effectively as a team member are essential. 

Qualifications Desired:
• Experience leading highly technical teams from project design to deployment is desired.
• Direct experience with software development best practices is desired including, but not limited to: Agile development; version control using Git/GitFlow or similar system; and project management via systems like Jira, Asana, TeamPulse, and Rally.
• Experience with mobile application development is desired.
• Experience with the following JavaScript libraries is desired: JQuery, ExtJS, D3, Node.js, Cesium.
• Experience with open source GIS applications and libraries is preferred. Examples include: GRASS, QGIS, GDAL, MapServer, and OpenLayers.
• Experience with open source spatial database technologies (PostgreSQL and PostGIS) is preferred.
• Experience with NoSQL, in-memory, and graph databases is desired.
• Experience with commercial GIS applications (ESRI products including ArcInfo, ArcView, ArcSDE, ArcGIS, and ArcIMS;
MapInfo, Intergraph) and database technologies (SQL Server, Oracle) is preferred
• Experience with open source content management systems (e.g., Drupal) is desired.
This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.
We accept Word(.doc, .docx), Excel(.xls, .xlsx), PowerPoint(.ppt, .pptx), Adobe(.pdf), Rich Text Format(.rtf), HTML(.htm, .hmtl) and text files(.txt) up to 2MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.

If you have trouble applying for a position, please email
Notice: If the position requires a Security Clearance, reviews and tests for the absence of any illegal drug as defined in 10 CFR 707.4 will be conducted by the employer and a background investigation by the Federal government may be requiredto obtain an access authorization prior to employment and subsequent reinvestigations may be required.
If the position is covered by the Counterintelligence Evaluation Program regulations at 10 CFR 709, a counterintelligence evaluation may include a counterintelligence-scope polygraph examination.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify Employer.

​Apply here

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