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Stratum AI

Builds AI models for mineral extraction

Lead Metallurgist / Mineral Processing Engineer

Data ScienceConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • A tertiary qualification in Metallurgy or Mineral Process Engineering.
  • A broad understanding of Mineral Process Engineering and experience with mill circuits (comminution), flotation, and heap leach (copper or gold) operations.
  • More than 20 years of extensive mineral processing experience, including evaluation of third-party operations, in both open-pit and underground mining environments.
  • Extensive knowledge of copper and gold deposit types; ideally including one or more ferrous, phosphate, and critical metal or mineral deposit types in Australia or Canada.
  • An understanding of geometallurgy models with respect to orebody or deposit knowledge.
  • Detailed knowledge of, or interest in, machine learning (ML) and data sciences as applied to the mineral processing sector of the mining industry.
  • Knowledge of 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 would restrict international travel, such as ESTA (US) and eTA (Canada).
  • 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 metallurgical team, providing expertise on mineral processing methodologies and ensuring quality control of all geometallurgical models.
  • Audit clients' geometallurgy (Kriging) models and newly generated Stratum models.
  • Assist in auditing and analysing complex mine-site databases focused on measured geometallurgical parameters, and report potential issues with the data and the client's conclusions.
  • Collaborate with Stratum's machine learning engineers and clients' mine planners and metallurgists or mineral process engineers to optimise the models.
  • Provide technical input to enhance the sales team's capabilities.
  • Implement rigorous audit and quality-control procedures for clients' data, new collection procedures when required, and Stratum resource models to ensure model accuracy and reliability.
  • Ensure adherence to relevant mining regulations regarding ore reserve reporting and disclosure.
  • Assist in preparing technical reports and presentations.
  • Provide guidance and training to junior metallurgists, mineral process engineers, and geometallurgists within the developing team.

Desired Qualifications

  • Certified professional or qualified person (CP/QP) for multiple copper or gold deposit types commonly found in Australia or Canada.
  • 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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