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255);"><b class="jobtitle" style="unicode-bidi: embed; font-size:
13.5pt; font-weight: bold; margin: 0px;"><font size="+1"><a class="moz-txt-link-freetext" href="https://sjobs.brassring.com/TGWebHost/jobdetails.aspx?jobId=503696">https://sjobs.brassring.com/TGWebHost/jobdetails.aspx?jobId=503696</a><br>
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Postdoctoral Researcher – Scientific Visualization</font></b><span
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<span class="company" style="unicode-bidi: embed; font-size:
11pt;">National Renewable Energy Laboratory</span><span
class="Apple-converted-space"> </span>-<span
class="Apple-converted-space"> </span><span class="location"
style="unicode-bidi: embed; color: rgb(102, 102, 102);
font-size: 11pt; white-space: nowrap;">Golden, CO</span></div>
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<td class="snip" style="font-family: Arial, sans-serif;
font-size: 10pt; line-height: 1.3; width: 43em;"><span
id="job_summary" class="summary" style="unicode-bidi:
embed;">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.<span class="Apple-converted-space"> </span><br>
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Job Duties<span class="Apple-converted-space"> </span><br>
The successful candidate will help to develop
visualization-based software to model and analyze complex
integrated energy systems.<span
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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.<span class="Apple-converted-space"> </span><br>
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Required Education and Experience<span
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Must be a recent PhD graduate within the last three years.<span
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Additional Required Knowledge, Skills and Attributes<span
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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.<span class="Apple-converted-space"> </span><br>
<br>
Preferred Qualifications<span
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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.<span
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