Internship - 2027 PhD Research & Development Intern

About the 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. Here, You Will Make An Impact By leveraging expertise to support the development of new technologies, providing growth opportunities, in addition to supporting existing 3M products, businesses, and operations.

Responsibilities

• 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.

Required Qualifications

• Currently pursuing a PhD degree in science or engineering from an accredited institution.
• Completed a minimum of Freshman Year (2 semesters) by the start of the internship.

Preferred Qualifications

• 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.
• Strong problem-solving skills.
• Ability to deal with the ambiguity of early-stage scouting and evaluation of new opportunities, and the flexibility to change direction as additional information becomes available.
• Leadership and networking skills.
• Self-motivated and self-directed.
• Excellent communication skills (oral, written, and presentation).
• 6-12 months of practical laboratory experience in the synthesis of polymers and small molecules, chemical/polymer processing, advanced analytical and materials characterization, vapor coating, nanotechnology, development of sensors, and optical materials.
• Hands-on experience in areas such as additive manufacturing, robotics, mechanical design, and/or hard goods.
• Experience with Microsoft Azure ML and/or AWS ML.
• Fluent in one or more programming languages (e.g., Python, MATLAB, C, C++, and/or R).
• Ability to apply object-oriented design and/or design patterns to software development.
• Fluent in understanding, manipulating, cleansing, and visualizing complex data.
• Experience working with complex, distributed Big Data workflows.
• Previous relevant intern experience or co-op with a company or university.
• Use of designed experiments and statistical analysis of experimental results.
• Demonstrated scientific excellence as evidenced by publications and presentations.

Work Location & Schedule

• This role follows an on-site working model, requiring the employee to work at least four days a week at the 3M Center in Maplewood, MN or Austin, TX.
• 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.

Pay & Benefits

• 3M provides eligible interns with a housing and transportation stipend in accordance with current policy.
• 3M offers many programs to help you live your best life – both physically and financially.
• To ensure competitive pay and benefits, 3M regularly benchmarks with other companies that are comparable in size and scope.