[ES_JOBS_NET] Postdoc Position at Lamont-Doherty Earth Observatory in Groundwater Arsenic Contamination

[Stahl, Mason]

Position Overview:

Lamont-Doherty Earth Observatory (Columbia University) seeks a postdoctoral
researcher to help lead an investigation into characterizing and explaining
global variability in groundwater arsenic.  The successful candidate will
work closely with the lead scientists and collaborators to assimilate a
wide-range of hydrologic, geologic, remote sensing, and geochemical
datasets and to use this data in geostatistical, geospatial, and
process-based modeling to improve fundamental understanding of the spatial
and temporal variability of groundwater arsenic concentrations observed in
global aquifer systems.  The chosen candidate will play a lead role in
guiding an international (US, Denmark, Australia, and Switzerland) and
multidisciplinary team of researchers from leading universities (Columbia,
Stanford, MIT) and government (USGS and EPA).

Responsibilities:

1) Aggregate and synthesize the many existing geologic, geochemical and
hydrologic data into a consistent and integrated dataset for alluvial and
deltaic aquifers worldwide

2) Strengthen this dataset by generating derived or inferred data that will
add additional mechanistic information

3) Perform geostatistical and geospatial analysis of our enhanced, globally
integrated dataset to assess the factors/processes driving global
variability in groundwater arsenic concentrations

4) Lead in the development of testable, process-based hypotheses that will
inform and guide future research efforts

5) Work in a highly collaborative setting to analyze, synthesize, present,
and publish the results

Qualifications and Experience:

1) Ph.D. (granted or expected soon) in Hydrology, Remote Sensing, Earth
System Science, Environmental Engineering, Environmental Science, or a
related discipline

2) Experience manipulating large geospatial datasets, data assimilation,
and statistical modeling

3) Excellent leadership, teamwork, written and verbal communication skills

4) Highly motivated with a demonstrated ability to work independently

5) Willingness to help lead an interdisciplinary team of scientists and a
strong ability to think across disciplines

6) Background in remote sensing and/or machine learning is desirable

7) Background in hydrology/hydrogeology and/or geochemistry is desirable

To Apply:

Please send a CV, a short expression of interest and names of 3 references
to: Benjamin Bostick (bostick at ldeo.columbia.edu) and Mason Stahl (
stahlm at union.edu)


-- 
Mason Stahl
James M. Kenney Assistant Professor of Environmental Engineering
Union College
Department of Geology
807 Union St.
Schenectady, NY 12308
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