[ES_JOBS_NET] Postdoctoral Researcher – Scientific Visualization, National Renewable Energy Laboratory - Golden, CO

Christine Wiedinmyer 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.

Job Duties
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.

Preferred Qualifications
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.

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