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PhD position in wildfire modeling available at the University of Miami</div>
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The Atmospheric Chemistry and Global Change laboratory in the Rosenstiel School of Marine, Atmospheric, and Earth Science at the University of Miami (Miami, Florida) is seeking a motivated PhD student (fully funded) in atmospheric science, starting Fall 2026.
The position will involve interdisciplinary research across numerical modeling (e.g. CESM, WRF), ambient measurements (e.g. airborne, satellite), and artificial intelligence/machine learning. The primary research objective is to explore physical and chemical
processes in wildfire plumes and the implications for air quality, weather, and climate.</div>
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The ideal candidate should have a strong background in atmospheric/climate science, meteorology, data science, or related physical sciences. Proficiency with at least one programming language (e.g., Python, Matlab) is highly desirable. Additional information
about this position can be found at the PhD Assistantship page at the Rosenstiel School:</div>
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https://graduate.earth.miami.edu/_assets/pdf/phd-assistantship/recruitment-Fall2026-SiyuanWangv2.pdf. Prospective students are encouraged to explore Dr. Siyuan Wang's faculty page (https://people.miami.edu/profile/5c787482a8b5fdf2c91319b9edb48dff) and research/teaching
website (https://sites.google.com/view/wangsiyuan/) and reach out before applying.</div>
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For consideration, please send one single PDF file that includes (1) a 1-page cover letter addressing their research interests and relevant experience, (2) a copy of the latest CV, and (3) unofficial transcripts, to Dr. Siyuan Wang (siyuan.wang@miami.edu).
Detailed information on the University's application process can be found here: https://graduate.earth.miami.edu.</div>
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Siyuan Wang</div>
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Associate Professor</div>
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Department of Atmospheric Sciences</div>
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Rosenstiel School of Marine, Atmospheric, and Earth Science</div>
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University of Miami</div>
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Website: <a style="color: rgb(102, 102, 102);" class="OWAAutoLink" id="OWAfa164a4b-7d58-b411-246b-199a8fe0a09d" href="https://sites.google.com/view/wangsiyuan/">
https://sites.google.com/view/wangsiyuan/</a></div>
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