Campus Digital Innovation Intern (PhD) – Remote

Dow Inc.; Donaldsonville (LA); Remote; USD 52,000 - 73,000; Full time

Job summary

Dow Inc. is seeking PhD scientists and engineers for a digital internship, with opportunities in North America including Texas, Michigan, and Pennsylvania.

You will join a diverse team tackling data science, analytics, and engineering challenges to accelerate digital transformation across R&D, ISC, M&E, IS and EHS&S. The role emphasizes problem solving, collaboration, and applying advanced analytics to real-world formulation, manufacturing and planning challenges.

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 other related disciplines.
• Minimum GPA of 3.00 (on a 4.000 scale) in current graduate school.
• Must be eligible to comply with U.S. export control laws.

Responsibilities

• Solve diverse and open-ended problems as part of accelerating the digital evolution of Dow.
• Collaborate with cross-functional teams to deliver high-priority research projects.
• Contribute to product/process research, application development, operations improvements, safety and sustainability.

Skills

Digital Literacy

Problem-Solving

Technical Skills

Innovation

Collaboration

Safety Mindset

Business Orientation

Education

Ph.D. candidate in Chemistry, Chemical Engineering, Mechanical Engineering, Materials Science, Polymer Science, Computer Science, Mathematics/Statistics, Operations Research, Industrial Engineering, Data Science, or related disciplines

Job description

Dow Inc. is seeking PhD scientists and engineers for a digital internship, with opportunities in North America including Texas, Michigan, and Pennsylvania.

You will join a diverse team tackling data science, analytics, and engineering challenges to accelerate digital transformation across R&D, ISC, M&E, IS and EHS&S. The role emphasizes problem solving, collaboration, and applying advanced analytics to real-world formulation, manufacturing and planning challenges.