PhD Digital Innovation Intern — Materials & Data Science

Dow Inc.; Lake Jackson (TX); Hybrid; USD 34,000 - 55,000; Full time

Benefits offered by this job

Hybrid or remote work options

Job summary

Dow Inc. is offering a digital internship in Texas, Michigan, Pennsylvania, and other North American locations, with hybrid or remote options.

You will align to functions like R&D, ISC, M&E, IS, or EHS&S and tackle problems in data science, analytics, and related disciplines. As a PhD candidate in a science or engineering field, you will work with domain experts to advance formulation prediction, manufacturing efficiency, R&D software modernization, and supply chain optimization.

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

• Solving diverse, open-ended problems to accelerate digital evolution of a global materials leader.
• Collaborating with domain experts to accelerate delivery on high-priority projects across product, process, safety and sustainability areas.

Skills

Digital literacy

Problem solving

Technical skills

Innovation & tech integration

Collaboration & teamwork

Safety mindset

Business & customer value

Education

PhD student in Chemistry/Chemical Engineering/Mechanical Engineering/Materials Science/Polymer Science/Computer Science/Math/Statistics/Operations Research/Industrial Engineering/Data Science

Job description

Dow Inc. is offering a digital internship in Texas, Michigan, Pennsylvania, and other North American locations, with hybrid or remote options.

You will align to functions like R&D, ISC, M&E, IS, or EHS&S and tackle problems in data science, analytics, and related disciplines. As a PhD candidate in a science or engineering field, you will work with domain experts to advance formulation prediction, manufacturing efficiency, R&D software modernization, and supply chain optimization.