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Postdoctoral Research Associate in Geospatial Image Analysis Research and Development / NB50639572
Oak Ridge National Laboratory
Oak Ridge National Laboratory

Job Location: Oak Ridge, TN

Oak Ridge National Laboratory (ORNL) is the United States Department of Energy's largest science and energy laboratory tasked to provide the United States government agencies and departments with technology and expertise to support national and homeland security needs. Our diverse capabilities span a broad range of scientific and engineering disciplines, enabling the Laboratory to explore fundamental science challenges and to carry out the research needed to accelerate the delivery of solutions to the marketplace.We have an opening for a Postdoctoral Research Associate in support of our Geographical Information Science and Technology group (GIST). In this postdoctoral role, you will have an excellent opportunity to contribute to exciting cutting edge research to advance computer vision, machine learning (including deep learning) and other analytics in the analysis of high resolution geospatial imagery. Example applications include detecting and mapping the built environment, solar panel adoption, agricultural patterns, and landuse change to name only a few. As imagery analytics continue to rise in popularity, GIST distinguishes itself by meeting the challenge of scaling applications to the entire planet. Meeting national grand challenges such as mapping every building on the planet requires scaling and deploying algorithms onto the fastest computers the world has to offer including Titan ( and Summit ( You will have a unique and exciting opportunity to work as part of a team that develops imagery algorithms for these systems and see their own successful ideas executed at unprecedented scale. You will also have the opportunity to publish your work, attend conferences, mentor students, interact with universities and other laboratories as you build a highly visible career on the computing capabilities and prestige at Oak Ridge National Laboratory.

Major Duties/Responsibilities:
Developing and applying the latest machine learning developments, including deep learning techniques, statistical machine learning algorithms and the capability to advance them for geospatial imagery analysis. Participation in developing, adapting and porting remote sensing image analysis algorithms. Working with a team of research scientists to develop remote sensing imagery analytics at scale specifically related to the exploitation of spectral imagery, support optimizing the collection and exploitation of varied imagery data types. Publishing in high impact IEEE journals and top tier conferences.

Qualifications Required:
Basic Qualifications: PhD in statistics, remote sensing, earth science, computer science, engineering, or related fields Previous research experience in machine learning and computer vision techniques. Prior publications in machine learning for remote sensing imagery analysis. Experience programming in C, C++, Python and MATLAB. Experience with spectral imagery, photogrammetry, and remote sensing data manipulation. Experience with deep neural network applications such as image recognition, image segmentation, scene understanding with high resolution remote sensing imagery. Hands on R&D experience with at least one main stream machine learning framework, such as Caffe, Tensor Flow, Theano, Torch is required. Preferred qualification: Strong communication skills. Experiences with temporal data analysis with remote sensing data. Applicants cannot have received their Ph.D. morethan five years prior to the date of application and must complete all degree requirements before starting their appointment. The appointment length will be for up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and the availability of funding.UT-Battelle is recognized by our employees and the community as an inclusive environment where diversity is valued and individuals and teams are inspired to contribute fully to the organization's success. ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply.

Oak Ridge National Laboratory

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.
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