Job Overview

The P&G Digital Accelerator@UC is seeking a Modeling & Simulation Scientist/Engineer (Postdoctoral) with a strong foundation in systems and process engineering to drive product and process innovation through the development and application of multi-physics, system-level models.

The role focuses on understanding, designing, and optimizing complex, coupled systems involving mass and heat transport in heterogeneous media such as human skin, moist air, and multilayer materials and fabrics. These systems are governed by interacting transport processes, thermodynamics, and reaction equilibria. A key expectation is the ability to translate physical phenomena into predictive, end-to-end process models that support decision-making, scale-up, and performance optimization.

Essential Functions

Develop integrated, equation-based models that capture coupled transport, thermodynamic, and kinetic processes
Define system boundaries, assumptions, and interfaces across product, process, and environment
Apply systems thinking to link material design, product performance, and usage conditions
Use models as decision tools for innovation, design space exploration, and process optimization

Required Education

PhD in Engineering (Chemical, or Materials Science), Physical Chemistry, or a related field

Required Experience

Ability to formulate first-principles, system-level models describing physicochemical phenomena, including transport processes, reaction kinetics, and thermodynamic equilibria
Experience in process modeling, systems analysis, and model-based optimization
Strong programming skills in at least one scientific computing language (e.g., Python, R)
Experience with process systems engineering, model integration, or multi-scale modeling frameworks
Experience with numerical methods such as finite difference, finite element, or finite volume methods and equation-oriented process modeling environments (e.g., gPROMS, Modelica, Pyomo)
Experience with biological systems (e.g., skin or soft materials)

Additional Qualifications Considered

Strong systems mindset, with the ability to frame complex, multi-physics problems as integrated engineering systems
Ability to work collaboratively in a multidisciplinary environment, partnering with scientists and engineers to define model scope and requirements
Capability to translate complex technical outputs into actionable insights
Excellent oral and written communication skills in English

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Job Overview

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