[Geodynamics] Two Postdoctoral Fellowship at the Carnegie Institution in geochemistry and data science and deep-time Data-Driven Discovery

Hello MSA,

I would like to draw your attention to two Postdoctoral Fellowship positions we have available at the Carnegie Institution for Science’s Earth and Planets Laboratory.

  1. Postdoctoral Research Fellow in Geochemistry and Data Science

The Carnegie Institution for Science’s Earth and Planets Laboratory seeks a highly-qualified applicant for a Postdoctoral Research Fellow position with expertise in geochemistry and data science. The successful candidate should have deep knowledge of geochemistry and petrology, particularly in the context of deep-time data-driven discovery (https://4d.carnegiescience.edu/), as well as proficiency in machine learning, numerical modeling, high-performance computing, and geospatial analysis. Research projects will be defined by the successful candidate in collaboration with members of the 4D Initiative team, including Robert Hazen and Shaunna Morrison at Carnegie, as well as the NASA Astrobiology ENIGMA team (https://enigma.rutgers.edu/), the Tetherless World Constellation (https://tw.rpi.edu/), and the Emergence Team at ASU (http://emergence.asu.edu/).

Minimum qualifications: The applicant must have a PhD in Geoscience and must be proficient in methods of data-driven discovery. Familiarity with database development, management, and use; programming, including knowledge of python and R coding; experience with machine-learning applications to geoscience problems; and the interest and ability to work knowledgeably with data scientists, applied mathematics colleagues, and bioinformaticians, are essential.

  1. Postdoctoral Research Fellow in Deep-time Data-Driven Discovery

The Carnegie Institution for Science’s Earth and Planets Laboratory seeks a highly-qualified applicant for a Postdoctoral Research Fellow position with expertise in data science and visualization, and application thereof in deep-time Earth and/or planetary science. We seek experience in multi-dimensional analysis and visualization, including proficiency in machine learning, numerical modeling, high-performance computing, and geospatial analysis. Successful candidates should have a working knowledge of one or more relevant geoscience fields, including geochemistry, mineralogy, paleobiology, paleotectonics, petrology, and planetary evolution, particularly in the context of deep-time data-driven discovery (https://4d.carnegiescience.edu/). Research projects will be defined by the successful candidate in collaboration with members of the 4D Initiative team, including Robert Hazen and Shaunna Morrison at the Earth and Planets Laboratory, as well as the NASA Astrobiology ENIGMA team (https://enigma.rutgers.edu/) and the Tetherless World Constellation (https://tw.rpi.edu/), and the Emergence Team at ASU (http://emergence.asu.edu/).

Minimum qualifications: The applicant must have a PhD in a computer science, data science, geoinformatics, or geoscience domain and must be proficient in methods of data-driven discovery. Familiarity with database development, management, and use; programming, including knowledge of python and R coding; experience with machine-learning applications to geoscience problems; and the interest and ability to work knowledgeably with data scientists, applied mathematics colleagues, Earth and planetary scientists, biologists, and bioinformaticians, are essential.

These full-time, 2-year positions will commence on or after February 1, 2021, and will be based at the Earth and Planets Laboratory at the Carnegie Institution’s Broad Branch Road campus in Washington, DC. These are FLSA Exempt positions. Interested applicants should submit a CV, contact information for three references, a cover letter, and a 1-page research proposal by December 31, 2020.

Only complete applications submitted via this Carnegie website will be considered.

At Carnegie, we are committed to building a diverse and inclusive community. We believe academic environments should be places where diverse groups of people with a variety of viewpoints and ideas can thrive and work together. As such, we encourage applicants from under-represented groups and backgrounds to apply. The Carnegie Institution 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.

Thank you!

Shaunna