Research Scientist in Geospatial Image Analysis Research and Development
Company Name:
Oak Ridge National Laboratory
The Geographic Information Science & Technology(GIST) group at Oak Ridge National Laboratory is seeking qualified research scientists in the field of geospatial image analysis research and development. The GIST group is an internationally renowned R&D organization with a wide range of expertise ranging from GIS and remote sensing technologies to key domain sciences and focuses on developing innovative, knowledge discovery, solutions to solve multidisciplinary and complex problems for energy, environment, and national and homeland security missions. More information on the GIST group may be found here http://web.ornl.gov/sci/gist/ .
Job Duties and
Responsibilities: The function of this position is to pursue research and development within the field of geographic information science, with special emphasis in one or more of the following areas:
Computer vision and machine learning for large geospatial data
High performance geospatial computing
Spatiotemporal data mining, modeling, and visualization
Applications of remote sensing in urban science
Major
Responsibilities: The qualified candidates will work on challenging research problems utilizing geospatial image analysis and modeling. This position requires extensive understanding of methodologies and practices used in computer vision, machine learning and remote sensing data analysis research. The work involves developing, adapting and porting image analysis algorithms to various computing architectures. Results from the basic research and the application to real-world problems will be published in professional journals and presented to the scientific community. Candidates are expected to interact and coordinate with national and international experts in the GI Science field to keep ORNL on the forefront of the geospatial sciences as well as assist in research program development and implementation.
Qualifications Required:
Ph.D. in natural sciences, geography, computer science, computer engineering, electrical engineering, along with a minimum of 2 or more years experience in one or more of the following areas: geographic information science, remote sensing, geographic information systems, spatial modeling, statistics, or visualization are required.
Strong experience and expertise in machine learning and computer vision techniques for design and use of one or more of the following are required: GIS and imaging systems, GIS and remote sensing theory techniques and application, Computational methods and spatial algorithms, Data management, Visualization, Geospatial modeling.
Strong programming experience with C/ C+
is required.
Excellent communication and decision-making skills, strong interpersonal skills and working effectively as a team member are essential.
Understanding and experience with emerging geocomputation architectures strongly desired.
Experience with CUDA and GPU programming preferred.
Estimated Salary: $20 to $28 per hour based on qualifications.
Oak Ridge National Laboratory
The Geographic Information Science & Technology(GIST) group at Oak Ridge National Laboratory is seeking qualified research scientists in the field of geospatial image analysis research and development. The GIST group is an internationally renowned R&D organization with a wide range of expertise ranging from GIS and remote sensing technologies to key domain sciences and focuses on developing innovative, knowledge discovery, solutions to solve multidisciplinary and complex problems for energy, environment, and national and homeland security missions. More information on the GIST group may be found here http://web.ornl.gov/sci/gist/ .
Job Duties and
Responsibilities: The function of this position is to pursue research and development within the field of geographic information science, with special emphasis in one or more of the following areas:
Computer vision and machine learning for large geospatial data
High performance geospatial computing
Spatiotemporal data mining, modeling, and visualization
Applications of remote sensing in urban science
Major
Responsibilities: The qualified candidates will work on challenging research problems utilizing geospatial image analysis and modeling. This position requires extensive understanding of methodologies and practices used in computer vision, machine learning and remote sensing data analysis research. The work involves developing, adapting and porting image analysis algorithms to various computing architectures. Results from the basic research and the application to real-world problems will be published in professional journals and presented to the scientific community. Candidates are expected to interact and coordinate with national and international experts in the GI Science field to keep ORNL on the forefront of the geospatial sciences as well as assist in research program development and implementation.
Qualifications Required:
Ph.D. in natural sciences, geography, computer science, computer engineering, electrical engineering, along with a minimum of 2 or more years experience in one or more of the following areas: geographic information science, remote sensing, geographic information systems, spatial modeling, statistics, or visualization are required.
Strong experience and expertise in machine learning and computer vision techniques for design and use of one or more of the following are required: GIS and imaging systems, GIS and remote sensing theory techniques and application, Computational methods and spatial algorithms, Data management, Visualization, Geospatial modeling.
Strong programming experience with C/ C+
is required.
Excellent communication and decision-making skills, strong interpersonal skills and working effectively as a team member are essential.
Understanding and experience with emerging geocomputation architectures strongly desired.
Experience with CUDA and GPU programming preferred.
Estimated Salary: $20 to $28 per hour based on qualifications.
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