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<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Times New Roman",serif">The U.S. Department of Agriculture (USDA), steward of agriculture for the nation, has long been concerned about the impacts of environmental variability and weather extremes.
Changes in the environmental and weather patterns can lead to unprecedented changes in the Ultraviolet-B (UV-B) radiation that reaches the Earth’s surface, raising the concern of direct and indirect effects to crops, ecosystems and humans. <br>
<br>
The UV-B Monitoring and Research Program (UVMRP) is guided by NIFA’s mission to invest in and advance agricultural research, education, and extension to solve societal challenges and create a vision to catalyze transformative discoveries, education, and engagement
to address agricultural challenges. Specifically, the UVMRP addresses NIFA’s Strategic Plan goal to advance the development and delivery of science for agricultural, forest, and range systems adapted to climate variability and to mitigate climate impacts.
<br>
<br>
The UVMRP fulfills these mandates with three established, long-duration program areas: <o:p></o:p></span></p>
<ul type="disc">
<li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l1 level1 lfo1">
<span style="font-size:12.0pt;font-family:"Times New Roman",serif">Monitor and examine solar radiation (with an emphasis on UV) at the Earth’s surface, <o:p></o:p></span></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l1 level1 lfo1">
<span style="font-size:12.0pt;font-family:"Times New Roman",serif">Study the interaction of UV radiation upon agricultural crops/production, forests, rangelands, ecosystems, and weather extremes, <o:p></o:p></span></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l1 level1 lfo1">
<span style="font-size:12.0pt;font-family:"Times New Roman",serif">Develop an Integrated Agricultural Impact Assessment System.<o:p></o:p></span></li></ul>
<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Times New Roman",serif">Position Summary: The post-doctoral scientist will research the variability in surface solar irradiance (especially in the UV to visible spectra) and the atmospheric factors.
The position will also explore the <span class="caps">UVMRP</span> network measurements through a data-driven approach with the ultimate goals of improving the data quality and deriving more agriculturally/ecologically/atmospherically important products in
an (semi-)automatic and reliable manner. The work will focus on the <span class="caps">
UVMRP</span> network data but will also utilize any relevant ground or satellite data as a supplement. This position will publish scientific findings in refereed journals, and make oral presentation at scientific conferences. This long-term program has been
running for over 28 years. Funding of the position is dependent upon continued federal support that is renewed on an annual basis. To apply and view a complete position description, please visit:
</span><a href="https://jobs.colostate.edu/postings/99243"><span style="font-size:12.0pt;font-family:"Times New Roman",serif">https://jobs.colostate.edu/postings/99243</span></a><span style="font-size:12.0pt;font-family:"Times New Roman",serif">.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Times New Roman",serif">Required Job Qualifications:<o:p></o:p></span></p>
<ul type="disc">
<li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l2 level1 lfo2">
<span style="font-size:12.0pt;font-family:"Times New Roman",serif">Earned Ph.D. degree in atmospheric science or geosciences, or a related discipline.<o:p></o:p></span></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l2 level1 lfo2">
<span style="font-size:12.0pt;font-family:"Times New Roman",serif">Expertise in the transfer of solar radiation in the atmosphere and/or the remote sensing of atmospheric parameters influencing the amount of solar radiation reaching the Earth’s surface is expected,
plus a strong background in computer programming.<o:p></o:p></span></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l2 level1 lfo2">
<span style="font-size:12.0pt;font-family:"Times New Roman",serif">The successful candidate must be legally authorized to work in the United States by the proposed start date; NREL will not sponsor a visa for this position. <o:p></o:p></span></li></ul>
<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Times New Roman",serif">Preferred Job Qualifications:<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Times New Roman",serif">Demonstrated experience and skills with: <o:p></o:p></span></p>
<ul type="disc">
<li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo3">
<span style="font-size:12.0pt;font-family:"Times New Roman",serif">Solar radiation transfer in the Earth’s atmosphere (especially in the UV to NIR range); <o:p></o:p></span></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo3">
<span style="font-size:12.0pt;font-family:"Times New Roman",serif">Radiative transfer models (e.g., TUV, MODTRAN); <o:p></o:p></span></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo3">
<span style="font-size:12.0pt;font-family:"Times New Roman",serif">Ground-based radiometers/spectrometers; <o:p></o:p></span></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo3">
<span style="font-size:12.0pt;font-family:"Times New Roman",serif">Python and its numerical libraries (e.g., tensorflow, numpy, scipy, pandas, sklearn, matplotlib) and machine learning development platforms (e.g., Kubeflow, MLflow, TFX); <o:p></o:p></span></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo3">
<span style="font-size:12.0pt;font-family:"Times New Roman",serif">Entire life cycle of a machine learning (ML) project, including translation of a scientific question into an ML case, data preparation, development of a portable, reliable, and scalable ML model,
distributed training, and deployment.<o:p></o:p></span></li></ul>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><span style="font-size:12.0pt;font-family:"Times New Roman",serif">Reflecting departmental and institutional values, candidates are expected to have the ability to advance the Department’s
commitment to diversity and inclusion.<o:p></o:p></span></p>
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