3M is looking for PhD Research & Development Interns to collaborate on innovative projects, leveraging expertise to support the development of new technologies and existing 3M products, businesses, and operations.
Requirements
- Currently pursuing a PhD degree in science or engineering from an accredited institution.
- 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.
- 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).
Responsibilities
- Leveraging expertise to support the development of new technologies, providing growth opportunities, in addition to supporting existing 3M products, businesses, and operations.
- 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.
- Use and/or develop digital science tools to address research challenges in the corporate research and business labs.
Other
- Building your technical, communication, and leadership skills.
- 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.
