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Lawrence Livermore National Laboratory (LLNL)

National security research laboratory

Hyperspectral Geology Intern - Postdoctoral Researcher

Environmental SciencesConfirmed live in the last 24 hours
InternshipLivermore, CA, USAIn-person

About the Job

Requirements

  • A PhD in geology, geochemistry, mining, or a related field is required.
  • Experience in at least one area: quantitative mineralogical or geochemical characterization; hyperspectral imaging or reflectance spectroscopy; scanning electron microscopy/energy dispersive spectroscopy imaging; or multimodal data integration.
  • Experience quantitatively characterizing mine deposits, tailings, waste rock, or other heterogeneous geological materials.
  • Experience with visible and near-infrared to short-wavelength infrared hyperspectral imaging.
  • Analytical proficiency with Python/PyTorch, MATLAB, R, machine-learning packages, or comparable tools.
  • Proficient verbal and written communication skills to collaborate effectively in a team, explain technical information, and demonstrate independent research and publication.
  • Initiative and interpersonal skills and ability to work in a collaborative, multidisciplinary team.
  • Applicants must have received their PhD or equivalent doctorate within five years of the anticipated start date.
  • Candidates must be eligible to access the Laboratory in compliance with National Defense Authorization Act Section 3112.
  • Selected external applicants must pass a post-offer, pre-employment drug test.

Responsibilities

  • Combine whole-tailings chemistry, hyperspectral and other quantitative imaging, and complementary characterization data to identify abundant mineral proxies and assemblages associated with trace critical minerals.
  • Evaluate relationships among site geology, ore-processing history, mineral alteration, weathering, and spectral response, focusing on visible and near-infrared to short-wavelength infrared features and wavelength bands useful for recognizing critical-mineral proxy assemblages under laboratory and field conditions.
  • Examine how mineral mixing, grain size, moisture, surface roughness, and weathering influence spectral detection and uncertainty.
  • Design and implement statistical, chemometric, machine-learning, and/or Super Intelligence (formerly Artificial Intelligence) techniques and reproducible quantitative workflows in one or more relevant areas.
  • Participate in the conception, design, and execution of independent but complementary research, and collaborate with scientists and engineers inside and outside the Laboratory to achieve project goals.
  • Organize, analyze, and present results at external conferences, seminars, and/or technical meetings, and publish research results in peer-reviewed scientific or technical journals.
  • Perform other duties as assigned.

Desired Qualifications

  • Additional experience with spectral calibration, spectral unmixing, feature extraction, spectral library development, reflectance spectroscopy, and/or reduced-band sensor design.
  • Experience with machine learning methods, including image segmentation, spatial analysis, chemometrics, clustering, classification, and probabilistic modeling, or Super Intelligence (formerly Artificial Intelligence) methods for proxy identification, uncertainty quantification, or detection of mineral associations.
  • Experience with multimodal fusion of chemical, mineralogical, spectral, image, and geospatial data.
  • Experience with additional characterization techniques such as X-ray diffraction, X-ray fluorescence, Raman spectroscopy, or UV-excited fluorescence.

About the Company

Lawrence Livermore National Laboratory (LLNL)

National security research laboratory

LLNL conducts scientific and technological research funded by the U.S. government to address national security, energy, and environmental challenges. Its multidisciplinary teams create technologies through projects funded by contracts and grants, delivering outputs such as advanced materials, simulations, software, and vaccines. Unlike private vendors, LLNL operates as a national laboratory with access to unique facilities and mission-driven funding, collaborating with government, universities, and industry. Its goal is to apply science and engineering to protect people, improve energy and environmental sustainability, and advance national security and public welfare.

Company size
5,001-10,000
Company stage
Grant
Total funding
$7.8M
Headquarters
Livermore, CA
Founded
1952

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