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Creation date"Creation date" is a predefined property that corresponds to the date of the first revision of a subject and is provided by <a target="_blank" rel="nofollow noreferrer noopener" class="external text" href="https://www.semantic-mediawiki.org/wiki/Help:Special_properties">Semantic MediaWiki</a>.
16:46:39, 15 June 2022 +
Has query"Has query" is a predefined property that represents meta information (in form of a <a target="_blank" rel="nofollow noreferrer noopener" class="external text" href="https://www.semantic-mediawiki.org/wiki/Subobject">subobject</a>) about individual queries and is provided by <a target="_blank" rel="nofollow noreferrer noopener" class="external text" href="https://www.semantic-mediawiki.org/wiki/Help:Special_properties">Semantic MediaWiki</a>.
August 12, 2022 +
The Gardner Lab in the Department of Geolo … The Gardner Lab in the Department of Geology and Environmental Science at the University of Pittsburgh is seeking applicants for a postdoctoral researcher broadly interested in global river hydrology/fluvial geomorphology, sediment flux, optical satellite remote sensing, and making open-source data products.</br></br></br>The overall goal of this NASA-funded, multi-institutional project (NASA JPL, University of Massachusetts, University of North Carolina, Ohio State University) is to operationalize and combine the Surface Water and Ocean Topography Mission (SWOT) global river discharge product with a global river suspended sediment concentration (SSC) product derived from the harmonized Landsat/Senintel-2. This position will work closely with the SWOT hydrology team, NASA JPL computer scientists, and computer vision researchers. Major tasks include: (1) transition current workflow for global, satellite-derived SSC observations (built using python, GEE, and machine learning) from Landsat to the harmonized Landsat/Sentinel-2 product, (2) guide NASA computer scientists to operationalize workflows, and (3) pursue science questions of your interest (in earth science, river hydrology/geomorphology, remote sensing etc.) using our new data products for peer-reviewed publications.</br></br>Position Details: The position is funded for two years with an annual salary starting at $57,000 with health/dental/vision coverage as well as access to other university benefits. Start date is flexible between August 2022 and February 2023.</br></br>Required Experience: </br></br>-PhD and/or MS in hydrology, remote sensing, computer science, earth science, engineering, or related fields</br></br>-Computer programming (e.g., python, JavaScript, R) </br></br></br>Preferred: </br></br>-Experience in machine learning, Google Earth Engine, and use of Landsat and Sentinel-2 products</br></br>-Commitment to open data and code practices</br></br>-Highly collaborative and communications skills with a range of scientific expertise</br></br></br>To apply: Please email gardner.john@pitt.edu with email subject: Postdoc Opportunity and the following as 1 combined attachment:</br></br>-Brief cover letter describing your goals, interests, and fit for the position</br></br>-CV including contact information for 3 professional references</br></br>Review of applicants and (virtual) interviews will occur on a rolling basis and will continue until the position is filled. We strongly encourage members under-represented groups in the geosciences apply. The Gardner Lab is committed to inclusive, diverse, and respectful work environment and supporting each other in achieving our goals. The University of Pittsburgh is an Affirmative Action/Equal Opportunity employer and values equality of opportunity, human dignity, and diversity. Women, members of minority groups under-represented in academia, veterans, and disabled are especially encouraged to apply.</br></br>Pittsburgh is a hub of academic research with strengths in technology and the arts with the University Pittsburgh, Carnegie Mellon University, and The Carnegie Museums. Pittsburgh was recently named “American’s Most Livable City” by the Places Rated Almanac, boasts a low cost of living, stunning cityscape and parks, and is home to a number of world-class museums, a thriving arts and food scene. The city is also located within a short drive of the Great Lakes, Laurel Highlands, and Allegheny Mountains.Laurel Highlands, and Allegheny Mountains.
Geology and Environmenal Science +
Post-Doctoral Scientist +
University of Pittsburgh +
Last editor is"Last editor is" is a predefined property that contains the page name of the user who created the last revision and is provided by <a target="_blank" rel="nofollow noreferrer noopener" class="external text" href="https://www.semantic-mediawiki.org/wiki/Help:Special_properties">Semantic MediaWiki</a>.
United States +
Modification date"Modification date" is a predefined property that corresponds to the date of the last modification of a subject and is provided by <a target="_blank" rel="nofollow noreferrer noopener" class="external text" href="https://www.semantic-mediawiki.org/wiki/Help:Special_properties">Semantic MediaWiki</a>.
19:55:47, 9 August 2022 +
Pennsylvania +
