Remote PhD Digital Innovation Internship

Dow Inc.; Mount Pleasant (MI); Hybrid; USD 40,000 - 60,000; Full time

Job summary

Dow Inc. is offering a digital internship for PhD scientists and engineers across North America, including Michigan, with hybrid or remote options.

Interns will align to multiple functions such as R&D, ISC, M&E, IS, or EHS&S and work on data science, analytics, and modeling to accelerate digital evolution. The role emphasizes solving open-ended problems, collaboration with domain experts, and contributing to manufacturing efficiency, advanced scheduling, and formulation predictions.

Qualifications

• Currently enrolled in a Ph.D. degree program in Chemistry, Chemical Engineering, Mechanical Engineering, Materials Science, Polymer Science, Computer Science, Mathematics/Statistics, Operations Research, Industrial Engineering, Data Science, or related disciplines.
• Minimum GPA of 3.00 in current graduate school.

Responsibilities

• Solve diverse, open-ended problems to accelerate digital evolution.
• Collaborate with domain experts to accelerate delivery against high-priority projects.
• Develop expertise as an industrial researcher and work with cross-functional teams.
• Cover project scopes across product/process research, application development, operations improvements, safety, sustainability and supply chain optimization.

Skills

Digital literacy

Problem-solving

Technical skills

Innovation integration

Collaboration

Safety mindset

Business value orientation

Education

PhD in Chemistry

GPA ≥ 3.00

Job description

Dow Inc. is offering a digital internship for PhD scientists and engineers across North America, including Michigan, with hybrid or remote options.

Interns will align to multiple functions such as R&D, ISC, M&E, IS, or EHS&S and work on data science, analytics, and modeling to accelerate digital evolution. The role emphasizes solving open-ended problems, collaboration with domain experts, and contributing to manufacturing efficiency, advanced scheduling, and formulation predictions.