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<b><u style="font-size: 14px;">Environmental/Climate Data and Visualization Analyst</u></b></p>
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<span style="font-size: 14px;">In the <a href="https://dpi.uillinois.edu/" style="box-sizing: border-box; color: var(--il-visited-link-color); transition: color 0.3s ease 0s; margin-top: revert !important;">Discovery Partners Institute (DPI)</a> at the University
of Illinois System, we seek an Environmental/Climate Data and Visualization Analyst with extensive experience handling environmental and climate data, performing statistical and data analysis, and developing user-friendly data visualization interfaces and
dashboards. This position will offer the candidate the opportunity to contribute to a range of challenging and engaging environmental projects that address urban climate issues from a variety of perspectives. The candidate must be able to use problem-solving
skills to develop creative solutions utilizing advanced data analysis and methodologies.</span></p>
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<span style="font-size: 14px;">This is a <strong style="box-sizing: border-box; margin-top: revert !important;">multiple-year opportunity</strong>, but as always within the university system, the position will be renewed every year following an annual performance
evaluation and availability of funding. The candidate will get an opportunity to work in an interdisciplinary team composed of highly motivated postdocs and scientists at DPI.</span></p>
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<span style="font-size: 14px;"><strong style="box-sizing: border-box; margin-top: revert !important;">Desired:</strong> </span></p>
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<span style="box-sizing: border-box; font-style: italic; margin-top: revert !important;"><span style="box-sizing: border-box; text-decoration: underline; font-size: 14px; margin-top: revert !important;">Data Analytics</span></span>
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<span style="font-size: 14px;">Experience with spatial and time series data, especially weather and geospatial datasets</span></li></div>
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<span style="box-sizing: border-box; font-size: 14px; margin-top: revert !important;">Experience with one or more of the following: working on data in a high-performance computing cluster environment; parallel processing techniques, e.g., pipeline- and multi-processing
and atomic operations</span></li></div>
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<span style="box-sizing: border-box; font-size: 14px; margin-top: revert !important;">Knowledge of statistical packages</span></li></div>
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<span style="box-sizing: border-box; font-size: 14px; margin-top: revert !important;">Experience handling geo-registered raster datasets and volumetric datasets; expertise in handling heterogeneous data from multi-platform (ground-based, airborne, balloon-borne,
ship-borne, satellite-borne, etc.) datasets from different formats; experience with demographic and health data and fusing in a consistent spatially registered representation</span></li></div>
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<span style="font-size: 14px;">Experience with cloud-native data formats and access methods such as zarr, h5pyd, OPeNDAP</span></li></div>
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<span style="box-sizing: border-box; font-style: italic; margin-top: revert !important;"><span style="box-sizing: border-box; text-decoration: underline; font-size: 14px; margin-top: revert !important;">Visualization</span></span>
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<span style="font-size: 14px;">Expertise and experience working with data science and visualization libraries like D3, xarray, geopandas, matplotlib, widgyts, etc.</span></li></div>
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<span style="box-sizing: border-box; font-size: 14px; margin-top: revert !important;">Experience working with ArcGIS or cyber-GIS</span></li></div>
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<span style="font-size: 14px;">Experience developing dynamic dashboards for climate and social data</span></li></div>
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<span style="font-size: 14px;">Strong programming background (ideally including experience with programming languages such as Fortran, C++, Python, and JavaScript, and front-end frameworks such as React and Angular)</span></li></div>
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<span style="font-size: 14px;">Experience in machine learning is a plus but not required </span></li></div>
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<span style="font-size: 14px;">Experience working at the intersection of social sciences and other disciplines to study urban systems may also apply </span></li></div>
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<strong style="box-sizing: border-box; font-size: 14px; margin-top: revert !important;">Qualifications: </strong></p>
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<span style="font-size: 14px;">Candidates must have earned a bachelor’s degree in computer science or a related field with at least 4-5 years of experience in the data and visualization domain.</span></li></div>
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<span style="font-size: 14px;">Candidates with an M.S. degree with 2 years of experience in a related field</span></li></div>
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<span style="font-size: 14px;">Candidates with a fresh Ph.D. degree in a related field</span></li></div>
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<span style="font-size: 14px;">Ability to create products independently.</span></li></div>
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<span style="font-size: 14px;">Strong oral and written communication skills as demonstrated by a record of presenting scientific results and/or writing journal articles and/or products developed.</span></li></div>
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<span style="font-size: 14px;">Demonstrated ability to work independently and in a collaborative environment with a diverse team of scientists, engineers, and students.</span></li></div>
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<span style="font-size: 14px;">Proven ability to prioritize, organize, and follow through on tasks.</span></li></div>
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<span style="font-size: 14px;">To apply, please submit the following application materials:</span></p>
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<span style="font-size: 14px;">A cover letter outlining current research accomplishments and a statement of how your experience meets the requirements for the postdoctoral position</span></li></div>
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<span style="font-size: 14px;">Curriculum Vitae </span></li></div>
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<span style="font-size: 14px;">Names and contact information for three professional references</span></li></div>
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<span style="font-size: 14px;">Applications will be reviewed as they arrive.</span></p>
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<span style="font-size: 14px;">Consideration of applications will begin immediately and continue until the position is filled. For questions about the positions and/or to apply, please contact Dr. Ashish Sharma (<a href="mailto:sharmaa@uillinois.edu" style="box-sizing: border-box; color: var(--il-visited-link-color); transition: color 0.3s ease 0s;">sharmaa@uillinois.edu</a>). </span></p>
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<span style="font-size: 14px;">For more information, please go to the link: https://publish.illinois.edu/urban-climate/environmental-climate-data-and-visualization-analyst/</span></p>
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<div>Best,</div>
<div>Ashish</div>
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<div><font style="font-size: 14px;"><b>Ashish Sharma</b></font><br>
<font color="#797979">Climate and Urban Sustainability Lead<br>
</font><a href="https://dpi.uillinois.edu/team/ashish-sharma-profile/">Discovery Partners Institute</a><font color="#797979">, University of Illinois System<br>
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</font><a href="https://www.anl.gov/profile/ashish-sharma">Joint Appointment</a><font color="#797979">, Argonne National Laboratory <br>
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Adjunct Professor, </font><a href="https://atmos.illinois.edu/directory/profile/sharmaa">Department of Atmospheric Sciences</a><font color="#797979"><br>
Affiliate, National Center for Supercomputing Applications <br>
University of Illinois at Urbana-Champaign<br>
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office: 312.668.9091 | cell: 480.334.2794 <br>
@A_Sharma007 | </font><a href="mailto:sharmaa@illinois.edu">sharmaa@uillinois.edu</a><font color="#797979"> <br>
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Web: </font><a href="https://publish.illinois.edu/urban-climate">https://publish.illinois.edu/urban-climate</a><font color="#797979"><br>
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Associate Editor </font><a href="https://www.frontiersin.org/journals/environmental-science/sections/atmosphere-and-climate">Frontiers in Environmental Science: Atmosphere and Climate</a></div>
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