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Artificial Intelligence modelling of Europa’s Space Environment and Ionosphere


National Aeronautics and Space Administration (NASA)


Location

Pasadena, CA | United States


Job description

Description

Description:

Jupiter’s moon Europa is a prime candidate in the search for life beyond Earth. NASA’s Europa Clipper mission aims to investigate the habitability of this icy world with a suite of 10 science instruments when it arrives at the moon in the early 2030’s. Of particular interest is the characterization of Europa’s subsurface ocean by using its magnetic induction response measured by the Europa Clipper Magnetometer [1]. The largest source of noise in this measurement is by far the obscuring interaction field created by the interaction of Jupiter’s corotating magnetospheric plasma with Europa’s atmosphere and therefore need to be accounted for [2]. These fields are typically simulated with Magnetohydrodynamic Modelling (MHD); however, these simulations require significant computation time (e.g. supercomputers) and are therefore extremely resource intensive.

The aim of this project is to use advanced Artificial Intelligence (AI) techniques, trained on outputs from already developed MHD simulations, to emulate the space environment and ionosphere of Europa and other moons in the solar system [3]. By doing so, we will be able to approximate the functionality of dedicated MHD simulations using parameterized models at a fraction of the computing cost. This will be extremely useful to generate simulations on the fly, thus enabling Monte Carlo error analyses where the plasma parameter space is not entirely certain [4]. These simulations will be very valuable for determining how well the induction response from ocean worlds can be extracted in the presence of plasma interactions at Europa and other icy worlds in the solar system in which NASA intends to visit. Additionally, we hope to incorporate existing physical models, such as magnetospheric particle bombardment, into the AI models, thus enhancing their applicability. The project will utilize in-situ data from Voyager, Galileo, and Juno, in preparation for the upcoming Europa Clipper and JUICE missions. Not only will this work have a significant impact on the ability to model the space environment at the Jovian moons, but could also be adapted to the large moons of Uranus and Neptune where the space environment is essentially unknown, thus providing use for potential future Discovery and Flagship missions to those environments.

The postdoctoral fellow will work with Dr. Corey Cochrane to build the AI models, couple them with the existing physical models, analyze results and disseminate findings to the relevant communities. The fellow will collaborate with members of the Europa Clipper Science Team to apply the AI models in preparation for Clipper’s arrival at Europa.

1. Kivelson, M.G., Jia, X., Lee, K.A. et al. The Europa Clipper Magnetometer. Space Sci Rev 219, 48 (2023). 2. Westlake, J.H., McNutt, R.L., Grey, M. et al. The Plasma Instrument for Magnetic Sounding (PIMS) on the Europa Clipper Mission. Space Sci Rev 219, 62 (2023). 3. Kataoka, R., Nakano, S. & Fujita, S. Machine learning emulator for physics-based prediction of ionospheric potential response to solar wind variations. Earth Planets Space 75, 139 (2023). 4. Cochrane, C. J. et al. Single- and multi-pass magnetometric subsurface ocean detection and characterization in icy worlds using principal component analysis (PCA): application to Triton. Earth Space Sci. 9, e2021EA002034 (2022). 

Field of Science:


Advisors:

Corey Cochrane
[email protected]
(818) 354-3054

Tom Nordheim
[email protected]
626-689-5871

Xianzhe Jia
[email protected]
734-764-7220 

Applications with 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:  . 

Eligibility is currently open to:

Eligibility Requirements

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Job tags

Permanent employment


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