Additive Manufacturing & AI Data Extraction Intern at ESAB · Hanover

Summary: ESAB is offering a unique hybrid internship opportunity for Mechanical Engineering students interested in advanced manufacturing and artificial intelligence. The role involves conducting literature reviews on Additive Manufacturing technologies, supporting experimental activities, and developing AI models for data extraction. 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 Required Qualifications: - 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; Java/JavaScript a plus) - MATLAB or similar tools - Analytical and problem-solving mindset - Ability to work independently and in teams - Strong communication skills - Curiosity and innovation mindset Required Skills: Additive Manufacturing, Metals, wire-based manufacturing processes, Materials Science, Mechanics, Thermodynamics, Mathematics, CAD SolidWorks, CAD similar, Finite Element Analysis, Manufacturing knowledge, Python programming, Java programming, JavaScript programming, MATLAB, Analytical mindset