PhD Digital Innovation Internship — Hybrid/Remote Research

Dow Inc.; Telford (PA); Hybrid; USD 60,000 - 80,000; Full time

Job summary

Dow Inc. is seeking PhD candidates for digital internship opportunities across North America, including Pennsylvania, with hybrid or remote options.

You will work on research, development, and optimization projects alongside domain experts to accelerate digital capabilities in materials science and engineering. The role emphasizes safety, collaboration, and delivering business value while exploring advanced analytics, machine learning, and data-driven decision making in real-world industrial

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.

Responsibilities

• Solve diverse and open-ended problems to accelerate digital evolution in a global materials company.
• Collaborate with cross-functional Dow teams to tackle product, process, safety and sustainability challenges.
• Contribute to projects spanning research, development, operations, and supply chain optimization.

Skills

Digital literacy

Problem solving

Technical skills

Innovation & tech integration

Collaboration

Safety mindset

Business value orientation

Education

PhD candidate in Chemistry, Chemical Engineering, Mechanical Engineering, Materials Science, Polymer Science, Computer Science, Data Science or related disciplines

Job description

Dow Inc. is seeking PhD candidates for digital internship opportunities across North America, including Pennsylvania, with hybrid or remote options.

You will work on research, development, and optimization projects alongside domain experts to accelerate digital capabilities in materials science and engineering. The role emphasizes safety, collaboration, and delivering business value while exploring advanced analytics, machine learning, and data-driven decision making in real-world industrial