Postdoctoral Multiphysics Modeling & Simulation Scientist/Engineer, P&G Digital Accelerator@UC
University of CincinnatiAbout the role
Current UC employees must apply internally via SuccessFactors
Next Lives at the University of Cincinnati
Founded in 1819, the University of Cincinnati ranks among the nation’s best urban public research universities. Home to more than 53,600 students, 12,000 faculty and staff, and over 360,000 living alumni, UC, a Carnegie 1 institution, combines research prowess with a physical setting The New York Times has called “the most ambitious campus design program in the country." UC's momentum has never been stronger as the anchor of the Cincinnati Innovation District, the oldest cooperative education (co-op) program in the country with students earning $94 million annually through paid experiences, an academic health system, and as a member of the Big 12 Conference. The university contributes $10.6 billion in economic impact to the city and $22.7 billion to the state of Ohio. At UC, next is all of us. Learn more at uc.edu.
UC is a mission-driven organization where we are committed to student success and positively transforming the community through scholarship and service. We thrive on innovation, making an impact, and fostering an environment where staff and faculty are key contributors to UC’s success.
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
Physical Requirements/Work Environment
- Office environment/no specific unusual physical or environmental demands.
Compensation and Benefits
UC offers an exceptional benefits package designed to support your well-being, financial security, and work-life balance. (UC Benefits) Eligibility may vary by
Apply for this role
Generate a tailored application kit with a matched cover letter, interview prep, and CV highlights — in under 60 seconds.
Apply Now →Generate Application KitFree account required — sign up in 30s