R&D Intern: Multiphysics & AI Prototyping

ABB Inc.; Isle Forest (NC); Hybrid; USD 28,000 - 47,000; Full time

Benefits offered by this job

Responsible workplace policies

Job summary

ABB Inc. offers an internship opportunity in their Research Department in Raleigh, NC. Interns will gain practical experience through diverse projects, supporting ABB's operations and enhancing education opportunities.

The role is onsite/hybrid, with responsibilities spanning R&D tasks in electrical, mechanical, and AI topics. Intern must be enrolled in a Master’s or PhD program in relevant fields, with coursework in machine design, modelling, mechatronics, and AI implementations.

Qualifications

• Currently enrolled in a Master's or PhD program in Electrical/Mechanical/Materials Engineering, Physics, Computer Science or similar (recent graduates will also be considered)
• Specialized coursework in electrical machines design and testing, mechanical/thermal modelling, mechatronics prototyping, or AI implementation

Responsibilities

• Support ABB R&D projects and investigations related to electrical, mechanical, thermal topics, and/or AI
• Find and evaluate state-of-the-art technology from public sources
• Contribute and critique new ideas, features, solutions, and evaluation strategies
• Help design, draw, and model new components and test setups
• Help design, run, and document calculations, simulations, laboratory tests, and experiments
• Uphold ABB's safety and integrity values and care for colleagues and the business

Skills

Critical thinking

Time management

Multitasking

Team collaboration

Education

Master’s or PhD in Electrical/Mechanical/Materials Engineering, Physics, CS or similar

Job description

ABB Inc. offers an internship opportunity in their Research Department in Raleigh, NC. Interns will gain practical experience through diverse projects, supporting ABB's operations and enhancing education opportunities.

The role is onsite/hybrid, with responsibilities spanning R&D tasks in electrical, mechanical, and AI topics. Intern must be enrolled in a Master’s or PhD program in relevant fields, with coursework in machine design, modelling, mechatronics, and AI implementations.