PPG is looking to develop digital twin solutions for chemical processes to optimize product and process development across its diverse businesses.
Requirements
- Minimum of 3 years of relevant experience using Computational Fluid Dynamics packages i.e. M-Star CFD, ANSYS Fluent, Siemens Star-CCM+, OpenFOAM, COMSOL, etc.;
- Experienced in pre-processing, meshing, solving, and post processing, and coding ability for user-defined subroutines.
- Proficiency in analyzing complex data sets and digital twin product development.
- Experience with hybrid modeling (e.g. AI/ML) is appreciated.
Responsibilities
- Apply your experience in chemical process simulation to model and analyze processes.
- Use physics-based and data-driven approaches to analyze complex data from several sources and identify trends, patterns, and areas for optimization.
- Support internal R&D and government-funded, export-controlled projects by delivering modeling solutions that meet technical and compliance requirements.
- Communicate technical findings to team members and project sponsors.
- Prepare project reports, model validations, and documentation in compliance with regulatory and export control guidelines.
Other
- A MS or PhD degree in chemical engineering, mechanical engineering, polymer materials engineering, or related technical disciplines, with chemical process simulation experiences.
- Must be a U.S. Person as defined by U.S. export control regulations (i.e., U.S. citizen or lawful permanent resident) to comply with government project requirements.
- Willingness to travel up to 10% for meetings, site visits, and technical conferences.
- Apply advanced engineering principles to develop digital twin solutions for chemical processes, integrating both physics-based and data-driven modeling approaches.
- Work in a cross functional environment and support government-funded, export-controlled R&D projects, contributing to innovation in product and process development across PPG's diverse businesses.
