Process Modeling Engineer
About the role
As an Process Modeling Engineer, you'll be at the forefront of our innovation, driving specialty chemical solutions forward. You'll collaborate with a diverse group of passionate individuals to deliver sustainable solutions to advance mobility, improve wellbeing, and enhance modern life.
Responsibilities
Develop, validate, and maintain physics-based process models (e.g., heat/mass transfer, reaction kinetics, fluid dynamics, unit operations).
Build and apply data-driven models using statistical, machine learning, or hybrid modeling approaches to identify trends, correlations, and optimization opportunities.
Conduct steady-state and dynamic simulations for process design, capacity analysis, debottlenecking, and energy efficiency assessments.
Support troubleshooting and root cause analysis by using modeling to reproduce plant behavior and test hypotheses.
Collaborate with R&D, operations, and process engineering to translate lab/pilot data into full-scale manufacturing models.
Develop and maintain modeling standards, documentation practices, and validation protocols to ensure consistency, quality, and sustainability of modeling assets.
Establish templates, guidelines, and workflows for physics-based and data-driven modeling across the engineering organization.
Lead governance activities to ensure models are used responsibly, accurately, and with defined lifecycle management.
Design and deliver training programs, workshops, and hands-on sessions for engineers, operators, and technical staff on modeling tools, methodologies, and best practices.
Mentor engineering teams on model interpretation, limitations, and appropriate use in decision-making.
Develop and communicate a strategic roadmap for modeling capabilities, including tool selection, digital technologies, and long-term capability growth.
Evaluate and integrate emerging modeling technologies—such as AI/ML, advanced simulation platforms, and digital twin solutions.
Collaborate with global engineering and operations leaders to align modeling strategy with broader engineering, manufacturing, and corporate objectives.
Provide thought leadership in the areas of advanced analytics, digital process design, and predictive manufacturing.
Work closely with manufacturing, quality, R&D, EHS, and supply chain teams to ensure models support operational excellence, process safety, and product quality.
Support capital project teams with modeling contributions for feasibility studies, conceptual design, and detailed engineering.
Present model results and recommendations to technical and non-technical audiences, including senior leadership.
Requirements
Master’s or PhD in Chemical Engineering, Process Modeling, Computational Methods, or related fields.
3+ years of experience in process engineering, process modeling, or advanced analytics within chemical, materials, or related manufacturing industries.
Strong experience with process simulation tools (e.g., Aspen Plus, Aspen HYSYS, CHEMCAD, gPROMS)
Experience developing data-driven models using tools like Python, MATLAB, JMP, or machine learning platforms.
Strong foundation in transport phenomena, thermodynamics, kinetics, and unit operations.
Proficiency in data analysis, statistics, and visualization.
Experience with dynamic modeling, digital twins, or real-time optimization is a plus.
Ability to integrate lab, pilot, and plant data into robust model frameworks.
Strong communication skills with ability to explain complex modeling results clearly.
Demonstrated leadership in influencing without authority and driving standards or programs across teams.
Structured problem-solving, curiosity, and continuous improvement mindset.
Qualifications
Master’s or PhD in Chemical Engineering, Process Modeling, Computational Methods, or related fields.
3+ years of experience in process engineering, process modeling, or advanced analytics within chemical, materials, or related manufacturing industries.
Strong experience with process simulation tools (e.g., Aspen Plus, Aspen HYSYS, CHEMCAD, gPROMS)
Experience developing data-driven models using tools like Python, MATLAB, JMP, or machine learning platforms.
Strong foundation in transport phenomena, thermodynamics, kinetics, and unit operations.
Proficiency in data analysis, statistics, and visualization.
Experience with dynamic modeling, digital twins, or real-time optimization is a plus.
Ability to integrate lab, pilot, and plant data into robust model frameworks.
Strong communication skills with ability to explain complex modeling results clearly.
Demonstrated leadership in influencing without authority and driving standards or programs across teams.
Structured problem-solving, curiosity, and continuous improvement mindset.
Skills
Master’s or PhD in Chemical Engineering, Process Modeling, Computational Methods, or related fields.
3+ years of experience in process engineering, process modeling, or advanced analytics within chemical, materials, or related manufacturing industries.
Strong experience with process simulation tools (e.g., Aspen Plus, Aspen HYSYS, CHEMCAD, gPROMS)
Experience developing data-driven models using tools like Python, MATLAB, JMP, or machine learning platforms.
Strong foundation in transport phenomena, thermodynamics, kinetics, and unit operations.
Proficiency in data analysis, statistics, and visualization.
Experience with dynamic modeling, digital twins, or real-time optimization is a plus.
Ability to integrate lab, pilot, and plant data into robust model frameworks.
Strong communication skills with ability to explain complex modeling results clearly.
Demonstrated leadership in influencing without authority and driving standards or programs across teams.
Structured problem-solving, curiosity, and continuous improvement mindset.
Benefits
Competitive salary with performance-based bonus plans
401(k) match + Age-Weighted Defined Contribution
Comprehensive medical, dental & vision coverage
Health Savings Account (HSA)
Paid holidays, vacation, and parental leave
Flexible work environment
Learning and development opportunities
Career and professional growth
Inclusive culture and vibrant community engagement