[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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