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The Corporate R&D organization is seeking a Modeling & Simulation scientist to help drive Product & Process innovation through advanced systems modeling! As a Scientist at P&G, you will be part of a collaborative organization crossing numerous scientific domains, and will utilize mathematical modeling, statistical techniques, chemistry, physics, and fundamental engineering to deliver new-to-the-world products and processes. In the initial work, the candidate will focus on developing digital twins of advanced manufacturing processes for system-level simulation and optimization. As the role progresses, the scientist will be responsible for the delivery of product systems models that enable the delivery of superior products that address rapidly evolving consumer needs that are fundamentally rooted in outstanding performance.

A PhD is required in Chemical Engineering, Mechanical Engineering, Physics, Chemistry, Applied Mathematics. All listed degrees are accepted, and preferred in the order listed. Also require:
- Solving Partial Differential Equations
- Custom Model Creation
- Experience with gPROMS Software

- Process Systems Modeling
- Multivariate Statistics
- Optimization Experience

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, disability status, age, sexual orientation, gender identity and expression, marital status, citizenship, HIV/AIDS status or any other legally protected factor.

Immigration sponsorship is not available for this role. As a general matter, Procter & Gamble does not sponsor candidates for nonimmigrant visas or permanent residency. However, Procter & Gamble may make exceptions on a discretionary basis. Any exceptions would be based on the Company's specific business needs at the time and place of recruitment as well as the particular qualifications of the individual.

Procter & Gamble participates in e-verify as required by law.
Qualified individuals will not be disadvantaged based on being unemployed.

Job locations:
Cincinnati, Ohio, United States
Job Type: Full-time
Job categories: Research & Development
Req No: RND00004585