Additive Manufacturing & AI Data Extraction Intern

ESAB•Hanover, PA

20h•Hybrid

About The Position

This is a unique hybrid internship opportunity for a highly motivated Mechanical Engineering student with a strong interest in both advanced manufacturing and artificial intelligence. The role combines Additive Manufacturing (AM) research through structured literature studies and hands-on engineering with AI model development for data extraction. The intern will conduct structured literature reviews on AM technologies, support experimental activities related to welding and additive manufacturing, and assist in the development of AI/ML tools to extract structured data from technical documents.

Requirements

Bachelor’s student in Mechanical Engineering or related field
Strong foundation in Materials Science, Mechanics, Thermodynamics, and Mathematics
CAD (SolidWorks or similar)
Basic FEA and manufacturing knowledge
Programming (Python preferred)
MATLAB or similar tools
Analytical and problem-solving mindset
Ability to work independently and in teams
Strong communication skills
Curiosity and innovation mindset

Nice To Haves

Programming (Java/JavaScript)

Responsibilities

Conduct structured literature reviews on Additive Manufacturing technologies, focusing on metals and wire-based processes
Summarize key findings on process parameters, material behavior, productivity, and cost
Identify trends, gaps, and opportunities for industrial applications
Prepare clear technical summaries and presentations
Support experimental activities related to welding and additive manufacturing
Assist in setup, execution, and documentation of trials
Work on prototyping and testing with engineering teams
Contribute to data collection and validation
Support development of AI/ML tools to extract structured data from technical documents
Use Python to clean, preprocess, and analyze data
Build simple pipelines or models for information extraction
Connect literature insights with structured datasets