<html><head><meta http-equiv="content-type" content="text/html; charset=utf-8"></head><body style="overflow-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><div dir="auto" style="overflow-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><h1><a href="https://essic.umd.edu/joom2/index.php/employment/3141-post-doctoral-research-associate-in-remote-sensing"><font size="3">Post-Doctoral Research Associate in Remote Sensing Data Science at University of Maryland</font></a></h1><font size="3"><u>Institution</u>: University of Maryland, College Park, Maryland, USA</font><div><font size="3"><u>Closing Date</u>: Open until filled<br></font></div><div><font size="3"><u>Salary</u>: Commensurate with experience <br></font></div><div><font size="3"><u>Location</u>: College Park, Maryland</font></div><div><font size="3"><u>Duration</u>: 1 year, with a potential for extension based on performance (up to 3 additional years)</font></div><div><span><font size="3"><br></font></span></div><div><font size="3"><u>Position</u>: Seeking a highly motivated and skilled researcher to join our team and contribute to projects focused on understanding and improving satellite observations of Earth systems, with a special interest in storm morphology and atmospheric and surface properties. The successful candidate will play a key role in delivering global analyses of cloud distributions, atmospheric column characteristics and validation of satellite retrievals relevant to understanding of the Earth's climate system. The work is part of NOAA- and NASA-funded projects. </font></div><div><span><font size="3"><br></font></span></div><div><font size="3"><u>Responsibilities</u>:<br> <span class="Apple-tab-span" style="white-space:pre"> </span>• Help with development and implementation of Machine Learning (ML) algorithms and models to define links between atmospheric properties and radiances collected by satellite and ground instrumentation.<br> <span class="Apple-tab-span" style="white-space:pre"> </span>• Conduct extensive analysis of satellite- and ground-based data relevant to precipitating systems.<br> <span class="Apple-tab-span" style="white-space:pre"> </span>• Collaborate with a multidisciplinary team of scientists to integrate the developed ML methods into existing research frameworks.</font></div><div><span style="font-size: medium;"><span class="Apple-tab-span" style="white-space:pre"> </span>•</span><span style="font-size: medium;"> </span><span style="font-size: medium;">Contribute to the publication of research findings in high-impact scientific journals</span></div><div><font size="3"><br></font></div><div><font size="3"><u>Qualifications, Expectations and Requirements</u>:<br> <span class="Apple-tab-span" style="white-space:pre"> </span>• Ph.D. in Environmental Science, Atmospheric Science, Computer Science, Engineering or a related field, or MS degree with 5+ years of experience.<br> <span class="Apple-tab-span" style="white-space:pre"> </span>• Prior knowledge and hands-on experience in ML algorithm implementation.<br> <span class="Apple-tab-span" style="white-space:pre"> </span>• Proficiency in Python programming language and ML-oriented tools, such TensorFlow, and/or PyTorch.<br> <span class="Apple-tab-span" style="white-space:pre"> </span>• Good understanding of Unix/Linux OS and scripting; familiarity with common data formats, such as NetCDF, HDF5, buffer.<br> <span class="Apple-tab-span" style="white-space:pre"> </span>• Excellent skills in manipulating large volumes of data.<br> <span class="Apple-tab-span" style="white-space:pre"> </span>• Prior experience in data visualization using Python tools.<br> <span class="Apple-tab-span" style="white-space:pre"> </span>• Experience with satellite data analysis and retrieval techniques is highly desirable.<br> <span class="Apple-tab-span" style="white-space:pre"> </span>• Knowledge of hydrometeorology, cloud physics and atmospheric processes is an advantage.<br> <span class="Apple-tab-span" style="white-space:pre"> </span>• Demonstrated ability to work independently and as part of a team.<br> <span class="Apple-tab-span" style="white-space:pre"> </span>• Excellent oral and written communication skills in English.<br><br><br><b>To Apply:</b> Follow the link to the posting:</font></div><div><div style="display: block;"><div style="-webkit-user-select: all; 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