FM Global is a leading property insurer of the world's largest businesses, providing more than one-third of FORTUNE 1000-size companies with engineering-based risk management and property insurance solutions. FM Global helps clients maintain continuity in their business operations by drawing upon state-of-the-art loss-prevention engineering and research; risk management skills and support services; tailored risk transfer capabilities; and superior financial strength. To do so, we rely on a dynamic, culturally diverse group of employees, working in more than 100 countries, in a variety of challenging roles.

We are looking for an intern or co-op student to help develop physical and software setups in our IIoT lab. This opportunity will provide educational and research value to the student through various activities in the lab.

The student will join the equipment risk and reliability team of FM Global Research in Norwood, MA in 2024. The assignment is about 6 months. He/she will be closely working with and under the guidance of the project lead. The student will

• Conduct Techno-Economic Analyses to evaluate economic performance of industrial process, product, or service with a focus on risk differentiation and improvement. Project topics may include but not be limited to
  • CapEx and OpEx modeling and analyses with particular interest on wind and solar technologies.
  • Modeling operations in factories with particular focus on at least one of the power generation, pulp and paper, chemical/pharma, semiconductor, mining, manufacturing, food/beverage, and warehouse/logistics industries.
  • Supply chain modeling and analyses.
• Following the main objective, proactively create innovative ideas to develop insights from modeling and analysis, consult with project lead and internal subject matter experts, and execute the tasks effectively and efficiently as planned and prioritized.
• Prepare detailed technical reports and memos summarizing research findings, model outcomes, and recommended strategies for risk improvement.

• The candidate should be working towards a graduate degree, in the fields of techno-economic analysis and operations research, major in industrial engineering, system engineering, applied mathematics and statistics, etc.
• Strong knowledge, experience, and skills within the relevant research areas such as advanced data modeling and analysis using statistical methods and other algorithms (e.g. optimization). Data analytics experience in machine learning and AI is highly desirable.
• Proficiency in tools such as Python, R, AMPL, Crystal Ball, etc. Experience in Pareto charts, OEE analysis, automation process simulation software such as Arena/Siemens PLM desired.
• Engineering knowledge in mechanical, power/electrical, robotics and automation engineering are highly desired, including knowledge in equipment design, operation, maintenance, testing, and inspection, as well as supply chain.
• Strong self-driven nature and work under general guidance (but not close supervision).
• Strong verbal and writing skills in communication, including with internal colleagues and supervisors, external customers, collaborators, technology providers and vendors.
• Strength in attention to details, problem-solving, and result delivery.

FM Global is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce.