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Postdoctoral Research Associate in Geospatial - Oak Ridge
Posted on November 8th, 2016

​Postdoctoral Research Associate in Geospatial Big-Data Analytics and Visualization 
Oak Ridge National Laboratory 80 reviews - Oak Ridge, TN 37830Job Description 

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 postdoctoral researcher in Computer Science with a focus in big-data analytics and geovisualization. 
The function of this position is to provide research and development support to a large number of geospatially-focused projects that projects that span a wide variety of scientific domains, applications, delivery platforms, programming languages, and hardware and software architectures. 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 basic and applied research in advanced data analytics, uncertainty, visualization, ensemble methods, data fusion, and data provenance with a strong emphasis on algorithm development, prototyping, and validation. 
Develop, optimize, and transition algorithm prototypes to scalable, parallelized, and robust implementations. 
Working with GIST researchers, as well as internal and external project sponsors, to capture, understand, integrate, and implement their requirements in developed algorithms and associated software, as well as contribute to publications. Qualifications 

Basic Qualifications:
PhD in computer science, computer engineering, geography, geosciences, mathematics, or related disciplines. 
Experience 
in one or more of the following areas: GIS, remote sensing, geographic 
information systems, big-data mining, simulation and modeling, 
statistics, and visualization. 

Preferred Qualifications:
Past 
hands-on involvement in research and development of significant 
geospatial software platforms involving big-data, visualization, machine 
learning, statistics, and modeling. 
Strong publication records in the areas of expertise. 
Strong programming experience with C, C++, Python, JavaScript, Matlab, Perl, and R. 
Experience with big-data, data mining, data provenance, ensemble methods, and uncertainty visualization. 
Experience in use of GDAL, PROJ.4, QGIS, OpenLayers, OpenStreetMap, Leaflet, D3, Angular, BootStrap, and Node.js. 
Knowledge 
of WebGL, computer graphics (OpenGL, VTK, etc.), and SQL/NoSQL 
databases (PostgreSQL, PostGIS, Cassandra, MongoDB, etc) is desirable. 
Experience 
with parallel and distributed computing software and hardware 
architectures including OpenMP, MPI, CUDA, OpenACC, OpenCL, and Apache 
Open Source Solutions. 
Strong social and communication skills and experience in working with multidisciplinary teams. 

Additional Information:
Applicants cannot have received their PhD more than five years prior to the dateof application and must complete all degree requirements before starting 
their appointment. The appointment length will be up to 24 months with 
the potential for extension. Initial appointments and extensions are 
subject to performance and availability of funding. 


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