PhD Digital Innovation Internship - R&D & Data Science

Dow Inc.; Bensalem Township (Bucks County); Hybrid; USD 28,000 - 41,000; Full time

Job summary

Dow Inc. offers digital internship opportunities for PhD scientists and engineers across North America with hybrid or remote work options. You will align to core functions such as R&D, ISC, M&E, IS, or EHS&S, tackling data science and engineering challenges.

As a digital intern, you will collaborate with domain experts to accelerate the digital evolution of a materials leader, shaping outcomes in product, process, safety, sustainability, and supply chain optimization.

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 minimum of 3.00 (on a 4.000 scale).

Responsibilities

• Solve diverse and open-ended problems to accelerate digital evolution in a global materials company.
• Collaborate with domain experts to accelerate delivery on high-priority projects across multiple functions.
• Contribute to product, process, safety, sustainability, and supply chain optimization through data-driven research.

Skills

Digital literacy

Problem-solving

Data science

Machine learning

Collaboration

Safety mindset

Business and customer value

Education

PhD in Chemistry

PhD in Chemical Engineering

PhD in Computer Science

PhD in Data Science

Tools

Python

R

ML frameworks

Job description

Dow Inc. offers digital internship opportunities for PhD scientists and engineers across North America with hybrid or remote work options. You will align to core functions such as R&D, ISC, M&E, IS, or EHS&S, tackling data science and engineering challenges.

As a digital intern, you will collaborate with domain experts to accelerate the digital evolution of a materials leader, shaping outcomes in product, process, safety, sustainability, and supply chain optimization.