Internship - 2027 PhD Research & Development Intern

3M; Maplewood (MN); On-site; USD 12,000 - 18,000; Full time

Benefits offered by this job

Housing stipend

Transportation stipend

Job summary

3M is seeking a PhD Research & Development Intern for Summer 2027. You will collaborate with researchers worldwide to advance technologies and products, building your technical and leadership skills.

You will work on projects spanning corporate technology, product engineering, and digital science, applying ML, AI, and data science to real-world challenges while developing experimental methods and reports.

Qualifications

• Currently pursuing a PhD degree in science or engineering from an accredited institution.
• Experience in machine learning, deep learning, data science, computer vision, artificial intelligence, statistics, software engineering, and/or applied mathematics.
• Strong scientific and technical acumen, with demonstrated interest and ability to make connections between science/technology and real-world concerns.

Responsibilities

• Collaborate with global R&D teams to support development of new technologies and products.
• Contribute to process and technology advances, and documentation of results.
• Assist in experiments, data analysis, and interpretation to guide product development.
• Work with senior researchers on assigned product/technology projects.
• Document detailed experimental records for invention submissions or patent considerations.

Skills

PhD data science focus

Machine learning

Deep learning

Data science

Computer vision

Artificial intelligence

Statistics

Software engineering

Applied mathematics

Education

PhD degree (science or engineering)

Tools

Python

Microsoft Azure ML

AWS ML

Job description

Internship - 2027 PhD Research & Development Intern

The role of PhD Research & Development Intern is intended to start in Summer 2027.

Collaborate with Innovative 3Mers Around the World

Choosing where to start and grow your career has a major impact on your professional and personal life, so it's equally important you know that the company that you choose to work at, and its leaders, will support and guide you. With a wide variety of people, global locations, technologies and products, 3M is a place where you can collaborate with other curious, creative 3Mers.

An internship is a temporary position within 3M. Interns typically work a full-time schedule throughout a 10-12 week assignment. This position is limited to working 899 hours per service credit year. 3M provides eligible interns with a housing and transportation stipend in accordance with current policy.

This position provides an opportunity to transition from other private, public, government or military experience to a 3M career.

The Impact You'll Make in this Role

As a PhD Research & Development Intern, you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative people around the world.

• Leveraging expertise to support the development of new technologies, providing growth opportunities, in addition to supporting existing 3M products, businesses, and operations.
• Building your technical, communication, and leadership skills.
• Collaborating with other R&D functions across 3M that can help advance projects, including researchers from other groups, analytical chemists, process engineers, etc.
• Collaborating with senior researchers on an assigned product/technology development or an application/product engineering project.
• Leading and directing assigned projects towards advanced technical solutions.
• Documenting detailed experimental records in 3M electronic laboratory notebooks that can be used for invention submissions and potentially patent applications.
• Analyzing, interpreting, and communicating experimental results.

R&D internships are available for both digital science and laboratory-based roles in the following areas:

• Corporate technology : Researchers working in one of our corporate R&D laboratories are concerned with the materials, processes, and/or analytical tools that go into the development of new technologies/methods and the generation of intellectual property, including patents. Projects in corporate technology may involve formulation science, synthetic chemistry, process design/control, materials characterization, development of new analytical techniques, materials scale-up, etc.
• Product engineering and development: interns working as product engineers or developers will collaborate with other researchers in our business and corporate research laboratories to address challenges in existing products and/or develop new products. Projects in the product engineering and development space may involve formulation science, process design/control, materials characterization, voice of customers, etc.
• Digital science and engineering: interns working in this area will use and/or develop digital science tools to address research challenges in the corporate research and business labs. Projects in the digital science and engineering space may involve: optimizing algorithms for computational efficiency, speed, and usability; building capabilities with software tools e.g., Microsoft Azure ML and/or AWS ML, Python; implementing complex data engineering processes to support innovative data science solutions; leveraging key ML or AI solutions toward materials and engineering problems; developing innovative models and simulations of complex chemical and physical processes.

Your Skills and Expertise

To set you up for success in this role from day one, 3M is looking for candidates who must have the following qualifications:

• Currently pursuing a PhD degree in science or engineering from an accredited institution.

Additional qualifications that could help you succeed even further in this role include:

• Currently pursuing a PhD degree in fields such as Chemical Engineering, Mechanical Engineering, Materials Science, Computer Science, Computer Engineering, Electrical Engineering, Data Science, Software Engineering, Chemistry, Polymer Science, Biomolecular Engineering, or related disciplines from an accredited institution.
• Experience in machine learning, deep learning, data science, computer vision, artificial intelligence, statistics, software engineering, and/or applied mathematics.
• Strong scientific and technical acumen, with demonstrated interest and ability to make connections between science/technology and real-world concerns.
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