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<p class="MsoNormal"><a href="https://jobs.colorado.edu/jobs/JobDetail/CIRES-EARTH-LAB-Machine-Learning-Applications-to-Earth-Observations-of-Natural-Hazards-Post-Doc/21193?"><span style="color:blue">https://jobs.colorado.edu/jobs/JobDetail/CIRES-EARTH-LAB-Machine-Learning-Applications-to-Earth-Observations-of-Natural-Hazards-Post-Doc/21193?</span></a><o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal" style="background:white"><span style="font-size:13.0pt;font-family:"Arial",sans-serif;color:#363636">Earth Lab, funded by the University of Colorado Boulder’s “Grand Challenge: Our Space, Our Future” and part of CIRES, seeks post-doctoral
researchers to join a dynamic team pushing the frontiers of coupled Earth and social system science (http://www.colorado.edu/earthlab/). Earth Lab’s mission is to harness the data revolution through research, analytics, and education to accelerate understanding
of global environmental change to help society better manage and adapt.<o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><span style="font-size:13.0pt;font-family:"Arial",sans-serif;color:#363636"><o:p> </o:p></span></p>
<p class="MsoNormal" style="background:white"><b><span style="font-size:13.0pt;font-family:"Arial",sans-serif;color:#363636">Earth Lab is seeking a Post-Doctoral Research Scholar</span></b><span style="font-size:13.0pt;font-family:"Arial",sans-serif;color:#363636"> to
lead a research agenda in the following area: Machine Learning Applications to Earth Observations of Natural Hazards. This targeted research area represents Earth Lab’s efforts to explore natural and social system vulnerability and resilience to global environmental
change, while also capitalizing of the diversity of data available to generate new insights. All postdoc positions are for one year with the possibility of extension based on performance and funding availability.<o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><span style="font-size:13.0pt;font-family:"Arial",sans-serif;color:#363636"><o:p> </o:p></span></p>
<p class="MsoNormal" style="background:white"><span style="font-size:13.0pt;font-family:"Arial",sans-serif;color:#363636">Earth Lab seeks a Postdoctoral Research Scholar to advance machine learning applications in analyzing and integrating Earth observations,
and non-traditional data sources - like Twitter or Zillow - to better understand global change and the consequences to ecosystems and society. This candidate will push forward on research frontiers that are emerging as methodological tools from the deep learning
revolution spillover into the Earth and environmental sciences. These include applications of generative models, generative adversarial networks, self-supervised or semi-supervised learning for sparse data, transfer learning, reinforcement learning, and science-based
deep learning that combines dynamical or physical models with neural networks. The candidate chosen for this position would have flexibility in terms of the particular systems, questions, and machine learning methods that are studied. Example research topics
include:<o:p></o:p></span></p>
<ul type="disc">
<li class="MsoNormal" style="color:#363636;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l1 level1 lfo1;background:white">
<span style="font-size:13.0pt;font-family:"Arial",sans-serif">Benefits of super-resolution techniques applied to satellite imagery assessed by classification accuracy, unmixing ratios, and/or physical process modeling. <o:p></o:p></span></li><li class="MsoNormal" style="color:#363636;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l1 level1 lfo1;background:white">
<span style="font-size:13.0pt;font-family:"Arial",sans-serif">Combining co-located point cloud data (e.g., structure from motion) with RGB, multispectral and thermal imagery for surface characterization.<o:p></o:p></span></li><li class="MsoNormal" style="color:#363636;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l1 level1 lfo1;background:white">
<span style="font-size:13.0pt;font-family:"Arial",sans-serif">Integration of commercial satellite imagery with long-term NASA and USGS research satellite observations (off-nadir view angles, inconsistent radiometry)<o:p></o:p></span></li><li class="MsoNormal" style="color:#363636;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l1 level1 lfo1;background:white">
<span style="font-size:13.0pt;font-family:"Arial",sans-serif">Real-time disaster response support that integrates disparate streams of observations including remotely sensed and social media data. <o:p></o:p></span></li><li class="MsoNormal" style="color:#363636;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l1 level1 lfo1;background:white">
<span style="font-size:13.0pt;font-family:"Arial",sans-serif">Science-based deep learning that permits inference about dynamical models and facilitates prediction.<o:p></o:p></span></li><li class="MsoNormal" style="color:#363636;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l1 level1 lfo1;background:white">
<span style="font-size:13.0pt;font-family:"Arial",sans-serif">Reinforcement learning to evaluate optimal control of wildfires.<o:p></o:p></span></li><li class="MsoNormal" style="color:#363636;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l1 level1 lfo1;background:white">
<span style="font-size:13.0pt;font-family:"Arial",sans-serif">Self-supervised learning for plant classification from hyperspectral imagery.<o:p></o:p></span></li><li class="MsoNormal" style="color:#363636;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l1 level1 lfo1;background:white">
<span style="font-size:13.0pt;font-family:"Arial",sans-serif">Scalable Bayesian deep learning for earth science applications that accommodates parameter uncertainty (e.g., variational inference).<o:p></o:p></span></li></ul>
<p class="MsoNormal" style="background:white"><span style="font-size:13.0pt;font-family:"Arial",sans-serif;color:#363636">The research goal of this work is to advance our understanding of some aspect of:<o:p></o:p></span></p>
<ul type="disc">
<li class="MsoNormal" style="color:#363636;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l5 level1 lfo2;background:white">
<span style="font-size:13.0pt;font-family:"Arial",sans-serif">Predictive inference in support of real time, short term, and/or long term prediction. <o:p></o:p></span></li><li class="MsoNormal" style="color:#363636;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l5 level1 lfo2;background:white">
<span style="font-size:13.0pt;font-family:"Arial",sans-serif">Object detection, segmentation, or classification of remotely sensed observations that leverages convolutional neural networks with limited training data.<o:p></o:p></span></li><li class="MsoNormal" style="color:#363636;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l5 level1 lfo2;background:white">
<span style="font-size:13.0pt;font-family:"Arial",sans-serif">Development of key Earth science training datasets to support future work.<o:p></o:p></span></li><li class="MsoNormal" style="color:#363636;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l5 level1 lfo2;background:white">
<span style="font-size:13.0pt;font-family:"Arial",sans-serif">Use of cloud computing resources to scale analytics.<o:p></o:p></span></li><li class="MsoNormal" style="color:#363636;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l5 level1 lfo2;background:white">
<span style="font-size:13.0pt;font-family:"Arial",sans-serif">Natural hazards, extreme events, and global change using multiple streams of information.<o:p></o:p></span></li></ul>
<p class="MsoNormal" style="background:white"><span style="font-size:13.0pt;font-family:"Arial",sans-serif;color:#363636">Who We Are<o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><b><span style="font-size:13.5pt;font-family:"Arial",sans-serif;color:#363636">Who We Are<o:p></o:p></span></b></p>
<p class="MsoNormal" style="background:white"><span style="font-size:13.0pt;font-family:"Arial",sans-serif;color:#363636">At CIRES, the Cooperative Institute for Research in Environmental Sciences, more than 800 environmental scientists work to understand the
dynamic Earth system, including people’s relationship with the planet. CIRES is a partnership of NOAA and the University of Colorado Boulder, and our areas of expertise include weather and climate, changes at the Earth’s poles, air quality and atmospheric
chemistry, water resources, and solid Earth sciences. Our vision is to be instrumental in ensuring a sustainable future environment by advancing scientific and societal understanding of the Earth system.<o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><span style="font-size:13.0pt;font-family:"Arial",sans-serif;color:#363636"><o:p> </o:p></span></p>
<p class="MsoNormal" style="background:white"><span style="font-size:13.0pt;font-family:"Arial",sans-serif;color:#363636"><a href="https://cires.colorado.edu/"><span style="color:#006DB1">https://cires.colorado.edu/</span></a><o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><span style="font-size:13.0pt;font-family:"Arial",sans-serif;color:#363636"><o:p> </o:p></span></p>
<p class="MsoNormal" style="background:white"><span style="font-size:13.0pt;font-family:"Arial",sans-serif;color:#363636">Earth Lab, funded by the University of Colorado Boulder’s “Grand Challenge: Our Space, Our Future” and part of CIRES, seeks post-doctoral
researchers to join a dynamic team pushing the frontiers of coupled Earth and social system science (<a href="http://www.colorado.edu/earthlab/"><span style="color:#006DB1">http://www.colorado.edu/earthlab/</span></a>). Earth Lab’s mission is to harness the
data revolution through research, analytics, and education to accelerate understanding of global environmental change to help society better manage and adapt.<o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><span style="font-size:13.0pt;font-family:"Arial",sans-serif;color:#363636">What Your Key Responsibilities Will Be<o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><b><span style="font-size:13.5pt;font-family:"Arial",sans-serif;color:#363636">What Your Key Responsibilities Will Be<o:p></o:p></span></b></p>
<ul type="disc">
<li class="MsoNormal" style="color:#363636;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l2 level1 lfo3;background:white">
<span style="font-size:13.0pt;font-family:"Arial",sans-serif">Work with individual team to meet research goals of this position, with the expectation of submitting one manuscript for publication to a peer-reviewed journal by the end of
Year 1, and contribute to and/or submit an independent funding proposal.<o:p></o:p></span></li><li class="MsoNormal" style="color:#363636;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l2 level1 lfo3;background:white">
<span style="font-size:13.0pt;font-family:"Arial",sans-serif">Use research agenda to develop use cases for the Analytics Hub (staff and Viz-studio) with heterogeneous and/or big data streams that require specialized data management,
analysis, and/or visualization support (with emphasis on data from the Earth Observation enterprise, from ground-based to space-based sensors).<o:p></o:p></span></li><li class="MsoNormal" style="color:#363636;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l2 level1 lfo3;background:white">
<span style="font-size:13.0pt;font-family:"Arial",sans-serif">Contribute to discussions with industry, federal, and other academic partners, and contribute to opportunities to make Earth Lab visible in the community.<o:p></o:p></span></li><li class="MsoNormal" style="color:#363636;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l2 level1 lfo3;background:white">
<span style="font-size:13.0pt;font-family:"Arial",sans-serif">Contribute to the open, reproducible science objectives of Earth Lab. This could include contributing or publishing well-documented data sets or code recipes that could serve multiple
users within Earth Lab or other audiences.<o:p></o:p></span></li><li class="MsoNormal" style="color:#363636;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l2 level1 lfo3;background:white">
<span style="font-size:13.0pt;font-family:"Arial",sans-serif">Work on synergistic activities across the post-doc cohort and Science Teams. This could include collaboration on external proposals, papers, workshops, opportunities with industry/federal
partners, or other collaborative activity and should amount to 20% effort.<o:p></o:p></span></li></ul>
<p class="MsoNormal" style="background:white"><span style="font-size:13.0pt;font-family:"Arial",sans-serif;color:#363636">What You Should Know<o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><b><span style="font-size:13.5pt;font-family:"Arial",sans-serif;color:#363636">What You Should Know<o:p></o:p></span></b></p>
<ul type="disc">
<li class="MsoNormal" style="color:#363636;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l3 level1 lfo4;background:white">
<span style="font-size:13.0pt;font-family:"Arial",sans-serif">This position is located at the University of Colorado at Boulder's main campus. <o:p></o:p></span></li><li class="MsoNormal" style="color:#363636;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l3 level1 lfo4;background:white">
<span style="font-size:13.0pt;font-family:"Arial",sans-serif">All postdoc positions are for one year with the possibility of extension based on performance and funding availability.<o:p></o:p></span></li><li class="MsoNormal" style="color:#363636;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l3 level1 lfo4;background:white">
<span style="font-size:13.0pt;font-family:"Arial",sans-serif">To learn more about Earth Lab, visit Earth Lab’s website (<a href="http://www.colorado.edu/earthlab/"><span style="color:#006DB1">http://www.colorado.edu/earthlab/</span></a>) and Earth Lab’s learning
portal (<a href="http://www.earthdatascience.org/"><span style="color:#006DB1">www.earthdatascience.org</span></a>).<o:p></o:p></span></li></ul>
<p class="MsoNormal" style="background:white"><span style="font-size:13.0pt;font-family:"Arial",sans-serif;color:#363636">What We Can Offer<o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><b><span style="font-size:13.5pt;font-family:"Arial",sans-serif;color:#363636">What We Can Offer<o:p></o:p></span></b></p>
<p class="MsoNormal" style="margin-bottom:11.25pt;background:white"><span style="font-size:13.0pt;font-family:"Arial",sans-serif;color:#363636">We can offer competitive salary and a comprehensive benefits package. <o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><span style="font-size:13.0pt;font-family:"Arial",sans-serif;color:#363636">Benefits<o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><b><span style="font-size:13.5pt;font-family:"Arial",sans-serif;color:#363636">Benefits<o:p></o:p></span></b></p>
<p class="MsoNormal" style="margin-bottom:11.25pt;background:white"><span style="font-size:13.0pt;font-family:"Arial",sans-serif;color:#363636">The University of Colorado offers excellent <a href="https://www.cu.edu/cu-careers/perks/cu-boulder" target="_blank" title="University of Colorado benefits (opens new window)"><span style="color:#006DB1">benefits</span></a>,
including medical, dental, retirement, paid time off, tuition benefit and ECO Pass. The University of Colorado Boulder is one of the largest employers in Boulder County and offers an inspiring higher education environment. Learn more about the <a href="http://www.colorado.edu/about" target="_blank" title="University of Colorado Boulder website (opens new window)"><span style="color:#006DB1">University
of Colorado Boulder</span></a>.<o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><span style="font-size:13.0pt;font-family:"Arial",sans-serif;color:#363636">Be Statements<o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><b><span style="font-size:13.5pt;font-family:"Arial",sans-serif;color:#363636">Be Statements<o:p></o:p></span></b></p>
<p class="MsoNormal" style="background:white"><span style="font-size:13.0pt;font-family:"Arial",sans-serif;color:#363636">Be Driven. Be Respectful. Be Boulder.<o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><span style="font-size:13.0pt;font-family:"Arial",sans-serif;color:#363636">What We Require<o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><b><span style="font-size:13.5pt;font-family:"Arial",sans-serif;color:#363636">What We Require<o:p></o:p></span></b></p>
<ul type="disc">
<li class="MsoNormal" style="color:#363636;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l6 level1 lfo5;background:white">
<span style="font-size:13.0pt;font-family:"Arial",sans-serif">Ph.D. in a related field is required, such as applied mathematics, computer science, geography, ecology, environmental studies, remote sensing, or other.<o:p></o:p></span></li><li class="MsoNormal" style="color:#363636;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l6 level1 lfo5;background:white">
<span style="font-size:13.0pt;font-family:"Arial",sans-serif">Background expertise in machine learning, deep learning, artificial intelligence, and/or statistics possibly with applications to environmental data.<o:p></o:p></span></li><li class="MsoNormal" style="color:#363636;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l6 level1 lfo5;background:white">
<span style="font-size:13.0pt;font-family:"Arial",sans-serif">Applicant must have demonstrated interest and skills in one or more of the approaches described above (e.g., machine learning approaches, remote sensing, data integration across multiple sources,
etc.).<o:p></o:p></span></li><li class="MsoNormal" style="color:#363636;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l6 level1 lfo5;background:white">
<span style="font-size:13.0pt;font-family:"Arial",sans-serif">A strong quantitative background is necessary.<o:p></o:p></span></li><li class="MsoNormal" style="color:#363636;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l6 level1 lfo5;background:white">
<span style="font-size:13.0pt;font-family:"Arial",sans-serif">The ability to work as part of an interdisciplinary team.<o:p></o:p></span></li></ul>
<p class="MsoNormal" style="background:white"><span style="font-size:13.0pt;font-family:"Arial",sans-serif;color:#363636">What You Will Need<o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><b><span style="font-size:13.5pt;font-family:"Arial",sans-serif;color:#363636">What You Will Need<o:p></o:p></span></b></p>
<ul type="disc">
<li class="MsoNormal" style="color:#363636;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l4 level1 lfo6;background:white">
<span style="font-size:13.0pt;font-family:"Arial",sans-serif">Experience in, or willingness to learn, appropriate programming and data analytic tools. Ideally the candidates will have experience in programming languages (e.g., R, Python, or others), can work
in different environments (e.g., Linux), and are well versed in geospatial analysis software (e.g., QGIS).<o:p></o:p></span></li><li class="MsoNormal" style="color:#363636;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l4 level1 lfo6;background:white">
<span style="font-size:13.0pt;font-family:"Arial",sans-serif">Demonstrated contributions to open science (i.e., publicly available and/or reproducible data, code, workflows, and/or tools) or willingness to contribute to open science.<o:p></o:p></span></li><li class="MsoNormal" style="color:#363636;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l4 level1 lfo6;background:white">
<span style="font-size:13.0pt;font-family:"Arial",sans-serif">Experience in integrating and analyzing large, and/or heterogeneous datasets.<o:p></o:p></span></li><li class="MsoNormal" style="color:#363636;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l4 level1 lfo6;background:white">
<span style="font-size:13.0pt;font-family:"Arial",sans-serif">Experience in working with a high performance computing or cloud computing environment is a plus (Earth Lab supports both HPC & cloud compute on AWS).<o:p></o:p></span></li><li class="MsoNormal" style="color:#363636;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l4 level1 lfo6;background:white">
<span style="font-size:13.0pt;font-family:"Arial",sans-serif">Demonstrated publication and grant-writing skills.<o:p></o:p></span></li><li class="MsoNormal" style="color:#363636;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l4 level1 lfo6;background:white">
<span style="font-size:13.0pt;font-family:"Arial",sans-serif">Team spirit and interest in interdisciplinary settings, with a willingness to engage with Earth Lab’s Analytics Hub and Education Initiative teams.<o:p></o:p></span></li></ul>
<p class="MsoNormal" style="background:white"><span style="font-size:13.0pt;font-family:"Arial",sans-serif;color:#363636">Special Instructions<o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><b><span style="font-size:13.5pt;font-family:"Arial",sans-serif;color:#363636">Special Instructions<o:p></o:p></span></b></p>
<p class="MsoNormal" style="background:white"><span style="font-size:13.0pt;font-family:"Arial",sans-serif;color:#363636">To apply, please submit the following materials:<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;margin-left:.5in;text-indent:-.25in;mso-list:l0 level1 lfo7;background:white">
<![if !supportLists]><span style="font-size:13.0pt;font-family:"Arial",sans-serif;color:#363636"><span style="mso-list:Ignore">1.<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span style="font-size:13.0pt;font-family:"Arial",sans-serif;color:#363636">Resume or CV<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;margin-left:.5in;text-indent:-.25in;mso-list:l0 level1 lfo7;background:white">
<![if !supportLists]><span style="font-size:13.0pt;font-family:"Arial",sans-serif;color:#363636"><span style="mso-list:Ignore">2.<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span style="font-size:13.0pt;font-family:"Arial",sans-serif;color:#363636">Cover letter addressed to the Search Committee briefly describing your qualifications, professional goals, and specific interest in this position.<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;margin-left:.5in;text-indent:-.25in;mso-list:l0 level1 lfo7;background:white">
<![if !supportLists]><span style="font-size:13.0pt;font-family:"Arial",sans-serif;color:#363636"><span style="mso-list:Ignore">3.<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span style="font-size:13.0pt;font-family:"Arial",sans-serif;color:#363636">List of contact information for 3 references who will be willing to write a confidential Letter of Recommendation for you. <o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><span style="font-size:13.0pt;font-family:"Arial",sans-serif;color:#363636">If you are selected as the finalist, your degree will be verified by the CU Boulder Campus Human Resources department using an approved
online vendor. If your degree was obtained outside of the United States, please submit a translated version as an optional attachment.<o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><span style="font-size:13.0pt;font-family:"Arial",sans-serif;color:#363636"><o:p> </o:p></span></p>
<p class="MsoNormal" style="background:white"><span style="font-size:13.0pt;font-family:"Arial",sans-serif;color:#363636">The position will be open until filled. Applications will be screened as they are received.<o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><span style="font-size:13.0pt;font-family:"Arial",sans-serif;color:#363636"><o:p> </o:p></span></p>
<p class="MsoNormal" style="background:white"><span style="font-size:13.0pt;font-family:"Arial",sans-serif;color:#363636">Note: Application materials will not be accepted via email. For consideration, applications must be submitted through <a href="https://www.colorado.edu/jobs/"><span style="color:#006DB1">CU
Boulder Jobs</span></a>.<o:p></o:p></span></p>
<p class="MsoNormal" style="margin-bottom:11.25pt;background:white"><b><span style="font-size:13.0pt;font-family:"Arial",sans-serif;color:#363636">Posting Contact Name:</span></b><span style="font-size:13.0pt;font-family:"Arial",sans-serif;color:#363636"> Brian
Johnson, Director, Earth Lab Analytics Hub<o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><b><span style="font-size:13.0pt;font-family:"Arial",sans-serif;color:#363636">Posting Contact Email:</span></b><span style="font-size:13.0pt;font-family:"Arial",sans-serif;color:#363636"> brian.johnson-1@colorado.edu<o:p></o:p></span></p>
<p class="MsoNormal" style="margin-bottom:11.25pt;background:white"><span style="font-size:13.0pt;font-family:"Arial",sans-serif;color:#363636">The University of Colorado Boulder is committed to building a culturally diverse community of faculty, staff, and
students dedicated to contributing to an inclusive campus environment. We are an Equal Opportunity employer, including veterans and individuals with disabilities.<o:p></o:p></span></p>
<p class="MsoNormal"><o:p> </o:p></p>
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