- Chemical engineering
United States of America
CA420: CHUBB - Onity Offsite PA Remote Location, Remote City, PA, 06032 USA
Carrier is a leading provider of heating, ventilating, air conditioning and refrigeration systems, building controls and automation, and fire and security systems leading to safer, smarter, sustainable and high-performance buildings! As Carrier emerges as an independent, standalone company, the Carrier Global Engineering organization is transforming. This new multi-site organization will ensure Carrier’s lead position in the market through investments in advanced research, technologies and methods that will shape the future of our products.
Willis Carrier invented the first modern air-conditioning system in 1902 and changed how people live, work, and play. Today, Carrier needs your talent to build upon this legacy and to deliver what’s next for the modern world!
The candidate will provide broad capability in the use of system identification and model calibration methods and tools in the newly formed Computational Science & Engineering Group in Carrier Global Engineering.
The candidate will join teams to develop approaches to identify model parameters and model errors in product development. The intent is to obtain problem formulations and solutions that advance the use of Model-Based Development across the Carrier business units and across the product development lifecycle to understand how to calibrate models and to quantify model error. The intent is to increase the efficiency of the product development processes at Carrier using models to make design decisions that affect the ability to meet performance targets. The candidate will help find opportunities where data acquisition and model calibration can play a key role in extracting information from models (physics-based and with empirical model elements) and measured data.
Key Job Responsibilities:
Have fundamental and applied (computational) knowledge in system identification and model calibration. Steady-state and dynamic.
Knowledge of data acquisition and test plan generation.
Knowledge of inverse problems and regularization techniques.
Data analysis and cleaning.
Application experience with relevant mechanical and/or chemical engineering applications in an industrial environment (data acquisition, size of the problem).
Experience / Qualifications:
Physics knowledge and interest – from a Mechanical Engineering or Chemical Engineering background. Ability to engage with vapor compression systems models (and associated components).
Desire to work with Carrier business unit teams.
Strong math skills – fundamentals (functional analysis, ability to read, proofs, problem formulations).
“Scientific computing.” Linux, Docker, Matlab, Python, AD, FMU, Modelica. Range of experiences in computing (“computing fabrics”) and use of HPC (cloud, on-prem).
MEng or PhD in Engineering with 3-5 years of experience.
Carrier is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.
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