PhD Digital Research Intern – Materials & Data Science

Dow Inc.; Walton (KY); Hybrid; USD 71,635,000 - 91,693,000; Full time

Benefits offered by this job

Hybrid or remote work options

Job summary

Dow Inc. is offering a digital internship aligned to R&D, ISC, M&E, IS, or EHS&S. You will solve open-ended problems with domain experts, accelerate manufacturing and R&D software modernization, and explore optimization across product and process spaces.

This role emphasizes a safety-minded, collaborative culture and cutting-edge data science applications. Ideal candidates are pursuing a PhD in a technical field with strong analytics, programming, and problem-solving skills, ready to contribute

Qualifications

• Currently enrolled in a PhD 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.
• Preferred GPA 3.00 on a 4.000 scale.

Responsibilities

• Address diverse, open-ended problems with real impact on Dow’s digital evolution.
• Collaborate with cross-functional teams to accelerate delivery on high-priority projects.
• Develop expertise as an industrial researcher, applying fundamental and applied research to chemical, material and process challenges.

Skills

Digital literacy

Problem solving

Technical skills

Innovation integration

Collaboration

Safety mindset

Business value orientation

Education

PhD student in Chemistry, Chemical Engineering, Mechanical Engineering, Materials Science, Polymer Science, Computer Science, Math/Stats, OR, Industrial Engineering, Data Science

Job description

Dow Inc. is offering a digital internship aligned to R&D, ISC, M&E, IS, or EHS&S. You will solve open-ended problems with domain experts, accelerate manufacturing and R&D software modernization, and explore optimization across product and process spaces.

This role emphasizes a safety-minded, collaborative culture and cutting-edge data science applications. Ideal candidates are pursuing a PhD in a technical field with strong analytics, programming, and problem-solving skills, ready to contribute