Key Responsibilities
Research, develop, and design computational algorithms to design and operate highly integrated energy systems to achieve optimal energy efficiency.
Develop automated computational workflows based on open-source packages notably in Python.
Deploy workflows to Carrier design teams.
Basic Qualifications
Must be currently pursuing a Master’s degree in Applied mathematics, Chemical Engineering, Computational Engineering, Mechanical Engineering or any engineering field.
Must have an overall GPA of 3.0 or higher.
Must be eligible to work in the US without sponsorship.
Preferred Qualifications
Theoretical foundations and practical experience with optimization algorithms, including discrete optimization and non-linear programming.
Familiarity with thermodynamics and HVAC systems
Coding skills in Pyomo, Python and Jupyter.
Carrier is a global leader in intelligent climate and energy solutions, pioneering sustainable innovations in climate technologies. Founded by Willis Carrier, the inventor of modern air conditioning, we have been shaping industries and enhancing lives for more than a century. With approximately 48,000 employees across 160 countries and more than 35 trusted brands, Carrier serves customers through four business segments: Climate Solutions Americas, Climate Solutions Europe, Climate Solutions Asia Pacific, Middle East & Africa and Climate Solutions Transportation. Our solutions enable healthier, more efficient and more sustainable environments in homes and buildings, and help ensure the safe transportation of food, medicine and vaccines. Grounded in our purpose—we continue to lead through relentless innovation and a deep commitment to customer success, delivering cutting-edge solutions that bring comfort, safety and sustainability to life. Carrier. For the World We Share.
