Process Modeling Engineer

Mariana Minerals

$90K — $130K *
Manufacturing & Automotive
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Proficiency in process simulation tools like ASPEN Plus, HYSYS, SysCAD, OLI Studio, or METSIM.
  • Deep understanding of mass transfer, heat transfer, thermodynamics, fluid flow, and reaction engineering.
  • Experience with energy and material balances in multi-step, integrated processes.
  • Strong knowledge of chemical equilibria and phase behavior in various systems.
  • Familiarity with data reconciliation and model validation techniques.
  • Competency in Python or MATLAB for automation and data processing.
  • Experience integrating modeling outputs into engineering deliverables.

Responsibilities

  • Develop process models for heat and material balances of mineral refinery systems.
  • Automate sizing of process equipment based on model outputs.
  • Maintain process simulation databases to ensure data consistency and traceability.
  • Calibrate models using pilot or plant data for accuracy.
  • Conduct optimization studies for energy recovery and material efficiency.
  • Develop dynamic models for validating PLC and DCS programming.
  • Link process models to CAPEX and OPEX estimation tools.

Benefits

  • Opportunities for career advancement in a pioneering sector.
  • Collaboration with R&D and project execution teams on innovative projects.
  • Work at the forefront of mineral processing technology essential for energy transition.
  • A chance to impact sustainability and environmental initiatives through advanced refining processes.
Full Job Description
The Role

Mariana Minerals is seeking a highly motivated Process Modeling Engineer to support the development of next-generation refining processes for critical minerals - key to enabling the world's energy transition.

In this role, you will be responsible for developing, validating, and optimizing heat and material balance models using tools such as ASPEN Plus/HYSYS, SysCAD, OLI Studio, or METSIM. You will work closely with R&D, pilot operations, and project execution teams to translate lab and pilot data into robust, scalable process models that drive the design of first-of-a-kind mineral refining facilities.

What You'll Do
  • Develop steady-state and dynamic process models to establish heat and material balances for integrated mineral refinery systems using ASPEN, SysCAD, OLI, or METSIM.
  • Automate equipment and process sizing (reactors, heat exchangers, filters, crystallizers, evaporators, and separators) based on model outputs, linking models to datasheets and other engineering tools
  • Develop and maintain process simulation databases, ensuring consistency and traceability between modeling assumptions, test data, and engineering deliverables.
  • Calibrate and reconcile models using pilot or plant operating data to ensure model fidelity and predictive accuracy.
  • Conduct process optimization studies - evaluating energy/heat recovery, recycle strategies, and material efficiency improvements.
  • Develop dynamic process models to validate PLC and DCS programming and evaluate/optimize buffer sizing throughout the design.
  • Link process models to CAPEX and OPEX estimation tools, automating technoeconomic model development
  • Document modeling methodologies and results, providing clear technical communication for design reviews, techno-economic assessments, and regulatory submissions.
What You'll Bring
  • Bachelor's degree or higher in Chemical Engineering, Mechanical Engineering, Process Engineering, Metallurgical Engineering, or a closely related engineering discipline
  • Proficiency in one or more of the following process simulation tools:
    • ASPEN Plus / HYSYS
    • SysCAD
    • OLI Studio / OLI Flowsheet
    • METSIM
  • Deep understanding of mass transfer, heat transfer, thermodynamics, fluid flow, and reaction engineering.
  • Experience developing material and energy balances for multi-step, integrated process systems.
  • Strong grasp of chemical equilibria and phase behavior in aqueous and non-aqueous systems.
  • Familiarity with data reconciliation, parameter fitting, and model validation using experimental or operational data.
  • Competency with Python or MATLAB for model automation, data processing, and custom calculations is a strong plus.
  • Experience integrating process modeling outputs into EPC deliverables (PFDs, P&IDs, equipment datasheets, control narratives, etc.)

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