Department: GL – Geophysical Lab
Location: Washington, DC
The Geophysical Laboratory and the Keck-sponsored Deep-Time Data Consortium seeks a highly-qualified applicant for a Postdoctoral Research Associate position with expertise in economic geology, paleotectonics, and data science. Working under the supervision of Robert Hazen, and in close collaboration with members of the Keck Deep-Time Data Consortium and resource scientists at the United States Geological Survey, the candidate will employ big-data methods to engage in studies of the distribution and quantities of mineral and energy resources. Studies may include investigation of the episodic mineralization and selective erosional loss of mineral resources, for example as pertains to the formation and preservation of the ~1 billion-year old Rodinian supercontinent.
Minimum qualifications: The applicant must have a PhD in Earth Sciences and must be familiar with concepts of ore formation, mineral deposit types, tectonic settings, and Earth’s changing near-surface environments in deep time. Programming skills are not required, but familiarity with database development, management, and use, as well as the ability to work knowledgeably with the RPI data science team, are essential.
Desired qualifications: Expertise in field studies and industry experience are desirable.
The full-time, 1-year position will commence on September 1, 2017, and will be based at CIW’s Broad Branch Road campus in Washington, DC. Interested applicants will need to submit a CV, contact information for three references, and a cover letting stating your interest in the position by June 30, 2017. Finalists will be notified by July 15, 2017.
Only complete applications submitted via this Carnegie website will be considered.
Prospective researchers will work at the Geophysical Laboratory, Carnegie Institution, Washington, DC. The Carnegie Institution of Washington is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of gender, race/ethnicity, protected veteran status, disability, or other protected group status.