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Metric Geo Hiring! Full Time Process Modeling Engineer in - Ricebowl

Process Modeling Engineer

Metric Geo

Singapore

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Working Location

  • Singapore

Job Description

Responsibilities

Our client is a growing technology company building AI and physics-based software to optimize complex industrial processes, with a focus on water and wastewater.


They are looking for a hands-on Process Modeling Engineer to build and calibrate mechanistic models and dynamic simulators in Python. This is a production-focused role, working closely with process engineers to turn real-world physical processes and operating data into models that power their optimization platform.


Responsibilities

  • Build equation-oriented mechanistic models in Python
  • Develop forward dynamic process simulators
  • Translate physical/chemical processes into governing equations and numerical models
  • Calibrate and validate models against real-world data
  • Build surrogate and physics-informed models for optimization
  • Perform parameter estimation and uncertainty quantification
  • Troubleshoot modeling and simulation problems
  • Write tested, production-grade Python
  • Collaborate with process engineers and technical teams globally


Requirements

  • MS in Chemical Engineering, Mechanical Engineering, Applied Mathematics, Physics, or related field; BS with 3+ years relevant experience considered
  • Strong applied mathematics: differential equations, numerical methods, linear algebra, optimization
  • 3+ years of Python for scientific computing
  • Experience building and calibrating simulation/process models against real data
  • Strong numerical modeling and scientific computing skills
  • Experience with testing and production software development
  • Ability to work independently and communicate technical concepts clearly


Preferred Experience

  • Pyomo, IDAES, WaterTAP, gPROMS, Aspen Custom Modeler, or CasADi
  • IPOPT and large-scale nonlinear optimization
  • Membrane/process modeling, fouling, RO/UF, CIP, or backwash dynamics
  • Physics-informed ML, surrogate modeling, or model-order reduction
  • MPC or reinforcement learning
  • Industrial process control
  • Parameter estimation and uncertainty quantification
  • Water/wastewater treatment
  • AI-assisted coding tools such as Cursor, Claude Code, or Codex


Interested? Please reach out directly at *************

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