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|State member=Pennsylvania
|State member=Pennsylvania
|MOI meeting country=United States
|MOI meeting country=United States
|JOB application_deadline=2021-02-01
|JOB begin review process=Yes
|JOB begin review process=Yes
|Working group member=Terrestrial Working Group, Hydrology Focus Research Group, Geodynamics Focus Research Group, Ecosystem Dynamics Focus Research Group, Artificial Intelligence & Machine Learning Initiative, River Network Modeling Initiative
|Working group member=Terrestrial Working Group, Hydrology Focus Research Group, Geodynamics Focus Research Group, Ecosystem Dynamics Focus Research Group, Artificial Intelligence & Machine Learning Initiative, River Network Modeling Initiative

Latest revision as of 21:26, 11 January 2021

Post-doctoral position in satellite hydrology/earth science
University of Pittsburgh, Pennsylvania, United States
Start reviewing process: 1 February 2021


Post-doctoral position in hydrology/earth science at the University of Pittsburgh

The Gardner Hydrology Lab (https://gardnerlab.weebly.com/) in the Department of Geology and Environmental Science at the University of Pittsburgh is seeking applicants for a postdoctoral researcher broadly interested in river hydrology, geomorphology, sediment flux, and/or water quality using satellite remote sensing. We are specifically looking for applicants interested examining global patterns and drivers of suspended sediment in rivers by developing large databases using satellite remote sensing. There is potential to work on additional related projects involving development of remote sensing products of river and floodplain lake morphology and water quality.

Position Details: The position is funded for two years and housed within the Department of Geology and Environmental Science at the University of Pittsburgh working with Dr. John Gardner and collaborators. The position may be extended pending funding. Annual salary starts at $56,000. Benefits include health/dental/vision coverage as well as optional access to other university benefits. Start date is negotiable but preferably between July and October of 2021.

Required: • PhD in one of the following fields: environmental science, geology, hydrology, remote sensing, computer science, physical geography, engineering, limnology, or related fields. • Experience with satellite remote sensing, computer programming, and google earth engine

Preferred: • Experience with optical imagery, geospatial data, and machine learning. • Expertise working with large datasets using computer programming (e.g. python, R, and Google Earth Engine, etc.). • Commitment to open data and code practices. • Interest in collaborating/mentoring undergraduate and graduate students. • Ability to work on multiple projects.

To apply: Please email Dr. John Gardner at gardner.john@pitt.edu with email subject: Postdoc Opportunity and the following combined as 1 pdf attachment: • A cover letter describing your career goals, experience, and interest in the position. • Resume/CV including contact information for 3 professional references.

Review of applicants and virtual interviews will occur on a rolling basis and will continue until the position is filled. Please submit by February 1st, 2021 for priority consideration.

The University of Pittsburgh is an Affirmative Action/Equal Opportunity employer and values equality of opportunity, human dignity, and diversity. We strongly encourage members of minoritized and under-represented groups in academia to apply.

Pittsburgh has strong research programs and is a center for machine learning, technology, and the arts with the combined efforts of 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, a 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 multiple parks in the rolling hills and forests of the Great Lakes, Laurel Highlands and Allegheny Mountains.

Of interest for:
  • Terrestrial Working Group
  • Hydrology Focus Research Group
  • Geodynamics Focus Research Group
  • Ecosystem Dynamics Focus Research Group
  • Artificial Intelligence & Machine Learning Initiative
  • River Network Modeling Initiative