[ES_JOBS_NET] Postdoctoral Researcher – Scientific Visualization, National Renewable Energy Laboratory - Golden, CO
christin at ucar.edu
Fri Oct 17 06:10:09 MDT 2014
Postdoctoral Researcher – Scientific Visualization*
National Renewable Energy Laboratory-Golden, CO
The Visualization and Analysis group in NREL’s Computational Science
Center has an immediate opening for a Postdoctoral Computational
Scientist to pursue a cross-disciplinary research project in scientific
visualization with an emphasis in immersive visual analysis and
knowledge discovery in large-scale computational data.
The successful candidate will help to develop visualization-based
software to model and analyze complex integrated energy systems.
The candidate will integrate these software tools with scientific and
engineering workflows for decision support and data analysis. These
workflows will include the use of state-of-the-art high-performance
parallel computing (HPC) and visualization facilities. The candidate
will evaluate and communicate results through written research reports
for publication and presentation at seminars, will participate in group
meetings and seminars, and will assist in developing grant proposals for
new research directions.
Required Education and Experience
Must be a recent PhD graduate within the last three years.
Additional Required Knowledge, Skills and Attributes
The ideal candidate will bring a solid background in scientific
visualization, including a working understanding of volume
visualization, topology-based visualization, and high-dimensional data
visualization techniques. The candidate should be willing to work in an
interdisciplinary field, together with computer scientists, biologists,
and engineers. The candidate will possess strong programming and
algorithm developments skills and have programming experience in one or
more HPC programming languages (i.e., Python, C++,…). In addition, the
ideal candidate will have experience with high-resolution and/or
immersive projection technologies. Finally, the ideal candidate will be
fluent in OpenGL and Qt programming.
Ph.D. degree in computer science, applied mathematics, or a related
field. Preference will be given to candidates with programming
experience in large-scale parallel computing and immersive virtual
environments. Experience in the visualization-driven analysis of energy
resource and/or atmospheric science data is desired.
-------------- next part --------------
An HTML attachment was scrubbed...
More information about the Es_jobs_net