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Computational Chemistry PhD Internship

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Description

The key objectives of this project are to 1) develop advanced analysis techniques from explicit chemistry simulations using data mining, and pattern recognition techniques 2) develop predictive machine learning models to guide formulation development. The successful candidate will have skills in physical chemistry, simulations/computations, and/or machine learning and pattern recognition algorithms and will be pursuing a doctoral degree in Chemistry, Physics, Chemical Engineering, Material Science, or Computer Science. The specific project deliverables include:


• Development of automated analysis scripts and pattern recognition algorithms to identify non-intuitive collective variables in complex simulations.
• Application of developed algorithms to identify critical physicochemical properties of formulation components and/or individual raw materials that influence viscosity, membrane/micellar stability and partitioning.

Key Priorities, Deliverables, or Outcomes of This Position:

1) Development of data mining and automated scripts for the analysis of simulation data.

2) Development of pattern recognition and machine learning algorithms to identify non-intuitive collective variables in complex systems.

3) Identification of formulation collective variables, and/or individual raw material collective variables that drive changes in viscosity, micellar/bilayer stability and the partitioning characteristics.

Skills Developed:

1) Development of fundamental and applied skills in physical chemistry, colloid, and interface science

2) Consumer product formulation design

3) Application of technical and scientific skills in an industrial setting


Qualifications
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
Job Type: Full-time Req No: RND00003862
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