The nature of the lunar crustal dichotomy and its effects in early lunar volcanism

Organization
National Aeronautics and Space Administration (NASA)
Reference Code
0291-NPP-JUL24-JPL-PlanetSci
How to Apply

All applications must be submitted in Zintellect

Application Deadline
7/1/2024 6:00:59 PM Eastern Time Zone
Description

Description:

The candidate is expected to pursue an independent research program on the subject of lunar petrology. The main focus of interest would be to combine petrological and remote sensing information with geodynamical modeling in order to provide an explanation of the lunar crustal dichotomy. The proposed work would incorporate all observations of the lunar crustal dichotomy, including the variations of crustal thickness and chemical differences, as well as the differences in volcanic output on each side of the Moon. A model that manages to explain these disparate observations is key to unraveling early lunar processes such as the cumulate overturn or the magma ocean, and will help understand the genesis of mare volcanism. The project would ideally involve the creation of programs to work with petrological data and to combine them with various modeling techniques.

Field of Science:

• Planetary Science

Advisors:

Laura Kerber
[email protected]
(626) 429-6013

Applications from citizens from Designated Countries will not be accepted at this time, unless they are Legal Permanent Residents of the United States. A complete list of Designated Countries can be found at: https://www.nasa.gov/oiir/export-control .

Eligibility is currently open to: 

• U.S. Citizens; 

• U.S. Lawful Permanent Residents (LPR);  

• Foreign Nationals eligible for an Exchange Visitor J-1 visa status; and, 

• Applicants for LPR, asylees, or refugees in the U.S. at the time of application with 1) a valid EAD card and 2) I-485 or I-589 forms in pending status 

Qualifications

The ideal applicant would have a PhD (or pending) in a topic in lunar petrology. The applicant should be well versed in thermodynamic phase equilibria models, and demonstrate proficiency with coding. The ideal applicant will have excellent writing a speaking skills and be capable of independent work. 

Eligibility Requirements

• Degree: Doctoral Degree.

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