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Stratum AI

Builds AI models for mineral extraction

Resource Geologist

Environmental SciencesConfirmed live in the last 24 hours
Full-timeRemote in AustraliaNo salary listed

About the Job

Requirements

  • A tertiary qualification in Geology or Earth Science.
  • A broad understanding of the composition, structure, and geophysical attributes of Australia or Canada, with respect to increasing geoscientific knowledge to develop advanced machine learning capabilities for mining.
  • Extensive experience in mineral resource evaluation (>20 years), working in both open-pit and underground mining environments.
  • Extensive knowledge of copper and gold deposit types; ideally including one or more of ferrous, phosphate, and critical metal/mineral deposit types in Australia, Canada, or Latin America.
  • An understanding of geometallurgy and mineral resource estimation with respect to orebody/deposit knowledge.
  • Detailed knowledge or interest in machine learning and data sciences as applied to the mineral resource sector of the mining industry.
  • Proficiency in mineral resource modelling software platforms and data analysis tools.
  • Familiarity with mining regulations and reporting standards in Australia (JORC) and Canada (NI 43-101).
  • An open motor vehicle driving licence.
  • No criminal convictions that will restrict international travel, such as ESTA (US) and eTA (Canada) eligibility.
  • Ability and willingness to travel up to 20% of the time.
  • Ability to work in remote mine sites with significant diversity.
  • No restrictions on wearing standard mine personal protective equipment.

Responsibilities

  • Lead an expanding resource geology team, providing expertise on resource evaluation methodologies and ensuring quality control of all resource models and geometallurgical models.
  • Audit clients’ mineral resource (Kriging) models and Stratum’s generated models.
  • Assist in the audit and analysis of complex mine-site databases composed of varied geological and geochemical data to evaluate critical issues.
  • Collaborate with Stratum’s machine learning engineers and clients’ mine planners and metallurgists to ensure model optimization.
  • Provide technical input to enhance the sales team’s capabilities.
  • Implement rigorous audit and quality-control procedures for clients’ data, new collection procedures if required, and Stratum resource models to ensure model accuracy and reliability.
  • Ensure adherence to relevant mining regulations regarding resource reporting and disclosure.
  • Assist in preparing technical reports and presentations.
  • Provide guidance and training to more junior resource geologists and geometallurgists within the developing team.

Desired Qualifications

  • Certified Professional/Qualified Person (CP/QP) for multiple copper or gold deposit types commonly found in Australia, Canada, or Latin America.
  • Technical proficiency in another language.
  • Experience working for a start-up or mining consultancy group.

About the Company

Stratum AI

Builds AI models for mineral extraction

Stratum AI builds machine learning software for mining companies to predict the distribution and quality of minerals before deciding what to extract and process. Its SAIGE platform turns geological logs, drill results and operating data into three-dimensional models of deposits, with applications in resource estimation, ore classification and processing. Mining teams upload data through a web dashboard, inspect model results and use the outputs to plan work at a mine. The company sells its proprietary modelling technology to mine operators, with technical specialists adapting models to each site's geology and operating needs. Stratum AI is headquartered in Toronto, Canada.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Toronto, Canada
Founded
Not listed

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