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<p class="MsoNormal">Dear All,<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">These postdoc and graduate student opportunities might be of interest. The postdoc position has a very flexible start date, and the candidate does not need to check all these boxes. It’s our “wish” list.
<span style="font-family:"Segoe UI Emoji",sans-serif">😊</span> <o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Regards,<o:p></o:p></p>
<p class="MsoNormal">Morteza <o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><b><span style="font-size:10.0pt;color:#806000">Morteza Karimzadeh, PhD</span></b><span style="font-size:10.0pt;color:#1F497D"><br>
</span><span style="font-size:10.0pt">Assistant Professor<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt">Department of Geography<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt">Affiliate Assistant Professor, Computer Science, Information Science<o:p></o:p></span></p>
<p class="MsoNormal"><b><span style="font-size:10.0pt">University of Colorado Boulder</span></b><span style="font-size:10.0pt;color:#1F497D">
<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;color:black">Traditional Territories of the Arapaho, Cheyenne and Ute Nations<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="ES-US" style="font-size:10.0pt">303-492-3252</span><span style="font-size:10.0pt;color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;color:#1F497D"><a href="mailto:karimzadeh@colorado.edu">karimzadeh@colorado.edu</a><b><o:p></o:p></b></span></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p><strong><span style="font-family:"Calibri",sans-serif">Transdisciplinary Postdoctoral Research Associate Position in Spatial Data Science and Geoscience</span></strong><o:p></o:p></p>
<p>University of Colorado Boulder, Boulder, CO<o:p></o:p></p>
<p> Starting date (very flexible): 1/7/2021<o:p></o:p></p>
<p>Application review begins December 7, 2020 on a rolling basis until the position is filled. <o:p></o:p></p>
<p> <o:p></o:p></p>
<p>We invite applications for a postdoctoral research associate position at the Department of Geography, University of Colorado Boulder (CU Boulder), with a flexible starting date of 1/7/2021 and possibility for remote work, although the ability to work on
the CU Boulder campus in the long term is desirable. The initial offer is for 12 months, with potential for renewal contingent upon favorable progress. <o:p></o:p></p>
<p> <o:p></o:p></p>
<p>The postdoctoral scholar will primarily work on a recently funded NSF EarthCube project (<em><span style="font-family:"Calibri",sans-serif">Data Capabilities: Enabling Analysis of Heterogeneous, Multi-source Cryospheric Data</span></em>, Award# 2026962)
under the supervision of principal investigator, Dr. Morteza Karimzadeh. The project is focused on creating software systems and cyber-infrastructure for harmonizing heterogeneous big data products (including satellite imagery and in situ observations) in
a cloud environment for various downstream tasks. The technologies developed are expected to be extendable to a variety of applications, but for this project, the focus will be on classification and mapping of sea ice. <o:p></o:p></p>
<p>Sea ice is an important component of the climate system and a key indicator of climate change. Sea ice is spatiotemporally dynamic, exhibiting a variety of evolving ice types that need classification for scientific analysis or operational planning. The mapping
of sea ice at high spatial and temporal resolutions remains a scientific challenge. With the increasing availability of high-resolution remote sensing products such as SAR and lidar, there is a renewed desire for tackling this challenge. However, bridging
data science and geoscience is key in successfully harnessing these large heterogeneous data for sea ice mapping. <o:p></o:p></p>
<p>The postdoctoral position will be homed in the Geography Department at CU Boulder and will actively collaborate with the co-PIs, scientists and students in the National Snow and Ice Data Center (NSIDC) and CU Denver’s Department of Computer Science. <o:p></o:p></p>
<p> <o:p></o:p></p>
<p>The postdoc duties will include:<o:p></o:p></p>
<ul type="disc">
<li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l3 level1 lfo3">
Design and implement software and computational modules in collaboration with the team’s sea ice scientists, remote sensing experts, and spatial data scientists.<o:p></o:p></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l3 level1 lfo3">
Draft and lead scholarly publications and reports.<o:p></o:p></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l3 level1 lfo3">
Assist the PI with leading research activities within the group and project management.<o:p></o:p></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l3 level1 lfo3">
Assist the PI with user evaluations and stakeholder engagement at NSIDC, NOAA, NCAR, the U.S. National Ice Center (NIC) and the Canadian Ice Service (CIS). <o:p></o:p></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l3 level1 lfo3">
Assist in supervising graduate and undergraduate students in the team. <o:p></o:p></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l3 level1 lfo3">
Assist in drafting successful research grant proposals.<o:p></o:p></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l3 level1 lfo3">
Interface with other research groups at and beyond the NSF EarthCube community and the University of Colorado. <o:p></o:p></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l3 level1 lfo3">
Work with research assistants to prepare training and outreach material, including easy-to-use Jupyter notebooks for product adoption.<o:p></o:p></li></ul>
<p>Given the transdisciplinary nature of this postdoctoral position, we expect that the candidate has foundation in either one or both spatial data science and/or geosciences, with the position strengthening the postdoc’s expertise in both disciplines. <o:p></o:p></p>
<p>The qualified candidate will possess a majority of the following, with interest in developing the rest:<o:p></o:p></p>
<ul type="disc">
<li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l2 level1 lfo6">
A Ph.D. in geography, geoscience, computer science, information science, statistics, or a cognate field is mandatory.<o:p></o:p></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l2 level1 lfo6">
Research background and expertise in applied machine learning and particularly, deep learning.<o:p></o:p></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l2 level1 lfo6">
Background and experience working with, spatial data, geographic information systems and earth observations.<o:p></o:p></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l2 level1 lfo6">
Familiarity with passive and active microwave imagery, airborne and spaceborne lidar altimetry is desirable (examples include SAR imagery from Sentinel-1, lidar altimetry data from Operation IceBridge, ICESat and ICESat-2, and radar altimetry data from CryoSat-2).<o:p></o:p></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l2 level1 lfo6">
Programming skills in Python, Scikit-learn and deep learning libraries (TensorFlow, or Keras or PyTorch). Working ability with R and its spatial packages is a plus. <o:p></o:p></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l2 level1 lfo6">
Interest or background in visual analytics for interactive machine learning is desirable. <o:p></o:p></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l2 level1 lfo6">
Experience working with cloud storage and compute instances is desirable.<o:p></o:p></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l2 level1 lfo6">
Experience in working with the output of climate models is desirable. <o:p></o:p></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l2 level1 lfo6">
Front-end development and visualization skills using D3.js, leaflet.js and the React framework is desirable. <o:p></o:p></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l2 level1 lfo6">
Excellent oral and written communication skills.<o:p></o:p></li></ul>
<p> <o:p></o:p></p>
<p>Both beginning and senior postdoctoral candidates are encouraged to apply. To apply, please upload your CV, a research statement (no more than one page) and the contact information of references to the application portal:<o:p></o:p></p>
<p><a href="https://jobs.colorado.edu/jobs/JobDetail/Postdoctoral-Associate/27487" target="_blank">https://jobs.colorado.edu/jobs/JobDetail/Postdoctoral-Associate/27487</a> <o:p></o:p></p>
<p>Please direct your questions to Dr. Morteza Karimzadeh (<a href="mailto:karimzadeh@colorado.edu" target="_blank">karimzadeh@colorado.edu</a>). Applications will be reviewed on a rolling basis starting
<u>December 7, 2020</u> until the position is filled.<o:p></o:p></p>
<p class="MsoNormal"><br>
<strong><span style="font-family:"Calibri",sans-serif">MS/PhD positions</span></strong><br>
<br>
Funded MSc/PhD positions are available in Dr. <a href="https://www.colorado.edu/geography/morteza-karimzadeh" target="_blank">
Morteza Karimzadeh</a>’s research group at the Department of Geography, University of Colorado Boulder, starting Fall 2021. The application deadline is December 1, 2020. The positions are supported through TA and RA appointments.<o:p></o:p></p>
<p>The successful candidates will join a vibrant and growing team of graduate students and postdoctoral researchers. Our current spatial data science projects intersect with geovisual analytics, GeoAI and spatial statistics in a variety of domains including
sea ice mapping and cryospheric data fusion, quantitative analysis of human mobility, geo-text analysis of various organizational and archival textual sources, and modeling spatial connectivity and dependence.<o:p></o:p></p>
<p>Details about the program can be found <a href="https://www.colorado.edu/geography/grad-program/graduate-curriculum" target="_blank">here</a>. Please also note that we have a <a href="https://www.colorado.edu/geography/grad-program/graduate-curriculum/graduate-admissions#Geography-Fee-Waiver-Request" target="_blank">graduate
application fee waiver</a> for under-represented minority applicants and applicants with financial need. <o:p></o:p></p>
<p>For inquiries, please feel free to contact <a href="mailto:karimzadeh@colorado.edu" target="_blank">
karimzadeh@colorado.edu</a> with your CV, explaining how your research expertise or interests may align with the team, and what potential areas you’d be interested in working on in the future.<o:p></o:p></p>
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