The UL Firefighter Safety Research Institute (FSRI) advances fire research knowledge and develops cutting edge, practical fire service education aimed at helping firefighters stay safe while more effectively protecting people and property.
https://ulfirefightersafety.org/
Contribute to a Safer, More Secure, and More Sustainable World. At UL, we know why we come to work. Thousands of us around the world wake up every day with one common purpose – to make the world a safer, more secure, and more sustainable place to live. We clear the way for our customers to introduce the latest products, technological advances, and systems in an increasingly complex world so they can provide peace of mind to the market. Our integrity is woven throughout our company and shapes the way we approach and deliver our solutions. We are proud that the work we do every day has a meaningful contribution to society. We continue to build upon our legacy of trusted expertise and partnership to keep our communities safe and secure as we march forward into the future. This helps us to sleep better at night, and we are confident that the millions of people we touch rest easier too.
Under general direction, performs engineering work in the UL Firefighter Safety Research Institute of Underwriters Laboratories, Inc. including literature studies, experimental design, data acquisition, data analysis and the documentation necessary to execute comprehensive experimental studies. Assists in conducting studies and analysis to determine the feasibility of various engineering approaches. Defines concepts and criteria to resolve major problems in current programs or approaches. Plans and conducts experiments using the body of scientific knowledge on topics related to hazard based safety engineering. Projects require substantial knowledge of state-of-the-art engineering principals and theories, and uses professional concepts and procedures to solve a wide range of research based problems. Utilizes typesetting programs such as latex, open source computer programing for data analysis such as python and work sharing platforms such as github to support research projects.
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