GOglobal Program

Program: GOglobal Program: Electronics R&D 2026

About the Role

This 2-year Functional Graduate Program offers an immersive rotation plan within EMD Electronics, international exposure, and direct engagement with senior management. The program focuses on AI-driven materials discovery, building tools, models, and workflows to accelerate the development and deployment of advanced electronic materials. Participants will receive expert mentorship, targeted training, and networking opportunities. The program aims to provide broad exposure to R&D activities and multiple facets of electronics and materials science, including Materials AI, Materials Innovation, and Process Development. Participants will gain domain depth and cross-functional perspective to build scientifically rigorous and industrially relevant AI applications. The program includes assignments in the United States and at least one international placement.

Program Structure and Rotations

• Start: Spring 2027
• Duration: 2 years
• Rotations:
• Assignment 1: Base location in United States (Branchburg, NJ; Carlsbad, CA; Hometown, PA; San Jose, CA; Sheboygan, WI; Tempe, AZ; or Remote)
• Assignment 2: International placement within a different part of EMD Electronics
• Assignment 3: Location in United States
• Objectives: Build deep expertise in AI/ML for materials science, develop cross-functional collaboration skills, and drive measurable innovation value through applied AI and hands-on project contributions.
• Mentorship and Development: Access to senior business mentors, targeted training sessions, and structured networking opportunities with the global R&D community.

Key Responsibilities

• Actively participate in a structured 2-year rotation plan within EMD Electronics, including assignments at the home base in the United States and one international placement.
• Contribute to the development of new materials and applications across multiple product segments within specialty chemicals and high-tech materials.
• Apply data, digital, and AI/ML tools to accelerate innovation, including data automation workflows, machine learning models, computational modeling, and agentic AI development.
• Engage in diverse R&D activities spanning Materials Innovation, Materials AI, and Process Development, translating scientific insights into actionable project outcomes.
• Plan, execute, and report on individual projects within assigned rotations, delivering milestones on time and within scope.
• Collaborate with bench scientists, process engineers, and product development teams to identify high-value opportunities for AI-driven acceleration, acting as a bridge between data science and domain expertise.
• Present findings and model insights to senior management and cross-functional teams; participate in technical reviews and strategic decision-making forums.
• Gain hands-on exposure to materials and chemistry domain across rotations, developing scientific intuition to build AI tools grounded in physical and chemical reality.
• Demonstrate international adaptability by applying AI/ML expertise across diverse cultural, organizational, and technical environments; build a global network of collaborators at the forefront of digital chemistry.
• Engage in professional development activities, training, and mentorship programs to accelerate growth as a leader in AI for science.
• Demonstrate a proactive, collaborative mindset with a customer- and result-oriented focus, going the extra mile to ensure project success.

Qualifications

• Minimum Qualifications:
• Ph.D. or Master’s Degree in a STEM discipline (Computer Science, Computational Chemistry, Data Science, Chemical Engineering, Materials Science, etc.) with graduation date in 2025 or 2026.
• Preferred Qualifications:
• Prior internship, research, or project experience applying AI/ML in a scientific or industrial context.
• International exposure.
• Bilingual skills.
• Demonstrated experience building and deploying machine learning models.
• Proficiency in scientific Python, familiarity with cheminformatics tools.
• Experience with LLMs, agentic AI, or foundation models for science.
• Flexible, collaborative team player with a willingness to go the extra mile to drive projects to success.
• Highly motivated with curiosity and passion for solving exciting challenges.

Compensation and Benefits

• Pay Range: $89,200 - $133,800/year. The actual compensation will be determined by factors such as location, level of experience, education, skills, and other job-related factors.
• Potential Eligibility: Position may be eligible for sales or performance-based bonuses.
• Benefits: Health insurance, paid time off (PTO), retirement contributions, and other perquisites.