PhD Research & Development Intern

3M

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Quick summary

Work type
On-site
Location
Maplewood, MNAustin, TX
Employment
Intern
Posted
10 days ago
Freshness
Confirmed live yesterday

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How this pay compares to similar roles

Similar $173k
$89k most similar roles pay here $258k

This listing doesn't post a salary. Most similar roles pay $105,000–$241,937.

Based on 240 similar postings.

Employer

About 3M

3M is a diversified technology and manufacturing conglomerate producing thousands of products across healthcare, safety, electronics, transportation, and consumer goods. Industry: Diversified Manufacturing

3M currently has 61 open roles on FindRole.

Listed pay typically runs $145,676–$178,049 across 51 roles with salary data.

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At a glance

TL;DR · PhD Research & Development Intern

Internship - 2027 PhD Research & Development Intern The Internship - 2027 PhD Research & Development Intern role involves collaborating with research teams to support the development of new technologies and existing products. The intern will lead assigned projects toward advanced technical solutions, document experimental records in electronic laboratory notebooks for potential patent applications, and communicate results across various R&D functions. Depending on the specific track, work may involve formulation science, synthetic chemistry, process design, materials characterization, or digital science tasks such as optimizing algorithms and building capabilities with Microsoft Azure ML, AWS ML, and Python. Candidates should possess expertise in machine learning, data science, or chemical engineering. The role addresses technical challenges in material science, manufacturing, and computational modeling to solve complex physical and chemical processes while utilizing tools like MATLAB, C++, R, and advanced statistical analysis of experimental results.

What you'll do

  • Support the development of new technologies and existing products through technical expertise.
  • Lead and direct assigned projects toward advanced technical solutions.
  • Document detailed experimental records in electronic notebooks for potential patent applications.
  • Analyze, interpret, and communicate results from experiments to relevant stakeholders.
  • Collaborate with cross-functional R&D teams including chemists, engineers, and researchers.
  • Develop digital science tools or optimize algorithms for computational efficiency and usability.
  • Perform material characterization, synthesis of polymers, or chemical process design as required.
  • Implement complex data engineering processes to support innovative data science solutions.

What we're looking for

  • Must be currently pursuing a PhD degree in science or engineering from an accredited institution.
  • Candidates should have experience in machine learning, deep learning, data science, computer vision, AI, statistics, software engineering, or applied mathematics.
  • Must possess 6-12 months of practical laboratory experience in areas such as polymer synthesis, chemical processing, or materials characterization.
  • Proficiency in one or more programming languages including Python, MATLAB, C, C++, and/or R is required.
  • Experience with Microsoft Azure ML and/or AWS ML platforms is preferred.
  • Must be able to demonstrate scientific excellence through publications and presentations.
  • Candidates must be a U.S. person as defined by export control laws (U.S. citizen, national, permanent resident, or protected status).

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