PhD Summer Intern - Multiscale Materials Modeling

Proctor & Gamble; Mason (OH); On-site; USD 83,000 - 87,000; Full time

Job summary

Procter & Gamble in Mason offers a 12-week paid PhD internship in Corporate Function R&D, focused on polymer science and computational modeling to understand material behavior. The internship combines theory and practical simulations at the intersection of polymer physics and materials design.

You will collaborate with experimental scientists and computational modelers, develop multiscale simulations, compare predictions with data, and present design recommendations to technical partners.

Qualifications

• Working toward a PhD in a relevant discipline (PhD candidate).
• Experience in polymer physics, soft materials, molecular simulation, or multiscale materials modeling.
• Programming experience in Python is required; experience with molecular simulation packages like LAMMPS is relevant.

Responsibilities

• Evaluate computational approaches relevant to polymer science, soft materials, and molecular modeling.
• Apply simulation and theoretical methods to representative polymer systems.
• Develop and execute demonstration simulations using multiscale modeling approaches.
• Compare model predictions with experimental observations and technical design needs.
• Create scripts and workflows for simulation setup, execution, and analysis.
• Assess whether modeling can generate new design hypotheses, improve material selection, or reduce experimental iteration.
• Document findings and present recommendations to technical partners.

Skills

Python

Molecular dynamics

Multiscale modeling

Soft matter physics

Education

PhD in Polymer Science/Materials Science and Engineering/Chemical Engineering/Chemistry/Computational Chemistry/Soft Matter Physics

Tools

LAMMPS

Job description

Procter & Gamble in Mason offers a 12-week paid PhD internship in Corporate Function R&D, focused on polymer science and computational modeling to understand material behavior. The internship combines theory and practical simulations at the intersection of polymer physics and materials design.

You will collaborate with experimental scientists and computational modelers, develop multiscale simulations, compare predictions with data, and present design recommendations to technical partners.