Process Modeling Engineer

Responsibilities

• 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.

Requirements

• 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.
• Experience integrating process modeling outputs into EPC deliverables (PFDs, P&IDs, equipment datasheets, control narratives, etc.).

Nice-to-Haves

• Competency with Python or MATLAB for model automation, data processing, and custom calculations.