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</o:shapelayout></xml><![endif]--></head><body lang=EN-US link="#0563C1" vlink="#954F72"><div class=WordSection1><p class=MsoNoSpacing align=center style='text-align:center'><b><span style='font-size:11.0pt'>Postdoctoral Research Associate<o:p></o:p></span></b></p><p class=MsoNoSpacing align=center style='text-align:center'><b><span style='font-size:11.0pt'>Department of Atmospheric Sciences<o:p></o:p></span></b></p><p class=MsoNoSpacing align=center style='text-align:center'><b><span style='font-size:11.0pt'>University of North Dakota</span></b><b><span style='font-size:11.0pt'><o:p></o:p></span></b></p><p class=MsoNoSpacing><b><span style='font-size:11.0pt'><o:p> </o:p></span></b></p><p class=MsoNoSpacing><span style='font-size:11.0pt'>This is a full-time one-year appointment, renewable for a second year depending on availability of continued funding and adequate performance. <o:p></o:p></span></p><p class=MsoNoSpacing><span style='font-size:11.0pt'><o:p> </o:p></span></p><p class=MsoNoSpacing><b><span style='font-size:11.0pt'>Summary: </span></b><span style='font-size:11.0pt'>Storms are efficient transporters of gases and water from the surface to the upper atmosphere. The level of maximum detrainment will be analyzed for different regions of the U.S. on seasonal time scales. The ability to quantify cloud-scale transport is very important for constraining the convective contribution to vertical mass transport in both weather and climate models. Previously, models have had to rely on traditional satellite measurements (which are not cloud scale in at least one dimension) or on aircraft or dual-Doppler measurements, which are limited to case studies. This important observational dataset will allow for improvements to the convective parameterizations.<o:p></o:p></span></p><p class=MsoNoSpacing><span style='font-size:11.0pt'><o:p> </o:p></span></p><p class=MsoNoSpacing><span style='font-size:11.0pt'>Specific responsibilities include: Analysis of level of maximum detrainment from both ground-based and satellite-based radar retrievals over different regions and environmental conditions; comparison of observational results to simulations with parameterized convection; mentorship of graduate students; preparing proposals and reports; and dissemination of research findings via peer-reviewed publications, educational materials, and presentations at professional meetings.<o:p></o:p></span></p><p class=MsoNoSpacing><span style='font-size:11.0pt'><o:p> </o:p></span></p><p class=MsoNoSpacing><span style='font-size:11.0pt'>The successful applicant will be working with the research group led by </span><a href="http://atmos.und.edu/People/Mullendore.aspx"><span style='font-size:11.0pt'>Dr. Gretchen Mullendore</span></a><span style='font-size:11.0pt'> in the </span><a href="http://atmos.und.edu"><span style='font-size:11.0pt'>Department of Atmospheric Sciences</span></a><span style='font-size:11.0pt'> at the </span><a href="http://und.edu"><span style='font-size:11.0pt'>University of North Dakota</span></a><span style='font-size:11.0pt'>. The applicant will have access to existing high performance computing platforms within Dr. Mullendore’s group and at UND, as well as access to national high performance computing platforms provided through existing grants from the National Science Foundation (NSF). <o:p></o:p></span></p><p class=MsoNoSpacing><span style='font-size:11.0pt'><o:p> </o:p></span></p><p class=MsoNoSpacing><b><span style='font-size:11.0pt'>Qualifications:</span></b><span style='font-size:11.0pt'> Applicants are required to have a Ph.D. in Atmospheric Sciences or a related field (by starting date), experience disseminating research via publications and/or conference presentations, and experience programming/scripting for data analysis and visualization. Prior research experience related to convective dynamics, the NASA Global Precipitation Measurement (GPM) satellite, and/or convective parameterizations are preferred. <o:p></o:p></span></p><p class=MsoNoSpacing><span style='font-size:11.0pt'><o:p> </o:p></span></p><p class=MsoNoSpacing><b><span style='font-size:11.0pt'>Application Process:</span></b><span style='font-size:11.0pt'> A review of applications will begin 5 March 2018 with continued review until position is filled. The preferred start date for this position is 1 Jun 2018. For questions regarding this position, please contact Dr. Gretchen Mullendore (</span><a href="mailto:gretchen@atmos.und.edu"><span style='font-size:11.0pt'>gretchen@atmos.und.edu</span></a><span style='font-size:11.0pt'>). Please submit cover letter, CV, and contact information for a minimum of three references. To apply, please visit UND’s Human Resources website: </span><a href="https://und.edu/finance-operations/human-resources-payroll/careers/secure/job-openings-external.cfm"><span style='font-size:11.0pt'>https://und.edu/finance-operations/human-resources-payroll/careers/secure/job-openings-external.cfm</span></a><span style='font-size:11.0pt'><o:p></o:p></span></p><p class=MsoNoSpacing><span style='font-size:11.0pt'><o:p> </o:p></span></p><p class=MsoNoSpacing><span style='font-size:11.0pt'>The University of North Dakota is an AA/EEO/Vets/Disabled Employer. <o:p></o:p></span></p><p class=MsoNormal><o:p> </o:p></p></div></body></html>