Hyperspectral Geology Postdoctoral Researcher

Lawrence Livermore National Laboratorys Postdoctoral Research Program provides mentored training to enhance professional skills and research independence for individuals who have recently earned their doctoral degree and are pursuing their chosen career path.

We have an opening for a Postdoctoral Researcher to investigate mineral assemblages and geochemical signatures in legacy mine tailings as indicators of critical-mineral potential. Candidates from mineralogy geology geochemistry mining hyperspectral imaging multimodal data science machine learning and/or related disciplines are encouraged to apply.

This position is in the Atmospheric Earth and Energy Division within the Physical and Life Sciences Directorate.

You will

• 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 with a major focus on identifying the visible and near-infrared to short-wavelength infrared (VNIR-SWIR) features and wavelength bands most 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 and/or machine learning and artificial intelligence techniques and reproducible quantitative workflows in one or more of the above areas.
• Actively participate in conception design and execution of independent (but complementary) research and collaborate with a broad spectrum of scientists (geologists mineralogists microscopists spectroscopists data scientists physicists and engineers developing field-deployable characterization systems) internally and externally to 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.

Qualifications :

• PhD in geology geochemistry mining or a related field.
• Experience with one or more of the following areas: quantitative mineralogical or geochemical characterization; hyperspectral imaging or reflectance spectroscopy; scanning electron microscopy/energy dispersive spectroscopy (SEM-EDS) imaging or multimodal data integration.
• Experience with quantitative characterization of mine deposits tailings waste rock or other heterogeneous geological materials.
• Experience with VNIR-SWIR 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 environment; demonstrated ability to explain technical information; and record of independent research and publication.
• Effective initiative and interpersonal skills and ability to work in a collaborative multidisciplinary team environment.

Qualifications we desire

• Additional experience with spectral calibration spectral unmixing feature extraction spectral library development reflectance spectroscopy and/or reduced-band sensor design.
• Experience with machine learning (e.g. image segmentation spatial analysis chemometrics clustering classification probabilistic modeling) or 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 UV-excited fluorescence etc.

Pay Range

$123048 Annually 

This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting.  An employees position within the salary range will be based on several factors including but not limited to specific competencies relevant education qualifications certifications experience skills seniority geographic location performance and business or organizational needs.

Additional Information :

Position Information

This is a Postdoctoral appointment with the possibility of extension to a maximum of three years. The postdoctoral appointment is a temporary mentored training position intended for individuals in the early stages of their postdoctoral research careers. Consistent with the structure of the program applicants must have received their Ph.D. (or equivalent doctorate) within five years of the anticipated start date.

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• Relocation Assistance
• Education Reimbursement Program
• Flexible schedules (*depending on project needs)
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  Remote Work :

  No

  
  

  Employment Type :

  Full-time