[Jobinfo] Fwd: [Ieee_vis_open_positions] Postdoctoral Research Associate in Geospatial Big-Data Analytics and Visualization / NB50594648


Wed Oct 19 10:19:48 CEST 2016




-------- Forwarded Message --------
Subject: 	[Ieee_vis_open_positions] Postdoctoral Research Associate in 
Geospatial Big-Data Analytics and Visualization / NB50594648
Date: 	Tue, 18 Oct 2016 10:28:41 -0400
From: 	Jibonananda Sanyal via ieee_vis_open_positions 
<ieee_vis_open_positions@listserv.uni-tuebingen.de>
Reply-To: 	Jibonananda Sanyal <jibonananda.sanyal@gmail.com>
To: 	ieee_vis_open_positions@listserv.uni-tuebingen.de



Please see:Â 
https://recruiting.ornl.gov/sap/bc/webdynpro/sap/hrrcf_a_posting_apply?PARAM=cG9zdF9pbnN0X2d1aWQ9MDA1MDU2QjQzOTc3MUVENkExOUUxNTNEMUE0RkY0NEUmY2FuZF90eXBlPUVYVA%3d%3d&sap-client=010&sap-language=EN# 
<https://recruiting.ornl.gov/sap/bc/webdynpro/sap/hrrcf_a_posting_apply?PARAM=cG9zdF9pbnN0X2d1aWQ9MDA1MDU2QjQzOTc3MUVENkExOUUxNTNEMUE0RkY0NEUmY2FuZF90eXBlPUVYVA%3d%3d&sap-client=010&sap-language=EN#> 


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*Purpose:*
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 Required:*
Basic Qualifications: PhD in computer science, computer engineering, 
geography, geosciences, mathematics, or related disciplines. Experience 
in one or moreof 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, andApache 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 date of 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.


Â

--

Jibonananda Sanyal, Ph.D.

Staff Scientist and Team Lead, Scalable Geocomputation,

GIST, Oak Ridge National Laboratory

Adjunct Faculty, CSE, Mississippi State University



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