Intern

Job Description

About Carrier

Carrier Global Corporation is a global leader in intelligent climate and energy solutions. They are committed to creating solutions that matter for people and the planet, leading in inventing new technologies and industries. Their focus is on putting the customer at the center of everything they do, with a world-class, diverse workforce. You can find more information at corporate.carrier.com or follow them on social media @Carrier.

Job Description

This is an internship role focused on reducing global energy consumption and carbon footprint in large-scale energy systems like data centers, energy stations, and district heating/cooling networks. The intern will work on developing computational algorithms to design and operate highly integrated energy systems for optimal energy efficiency. This involves using models, optimization, and Machine Learning (ML) methods to address challenges in heating, cooling, and ventilation (HVAC) systems, which significantly contribute to global building energy consumption.

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 in Python, R, Julia, etc.
• Deploy workflows to Carrier design teams.

Required Qualifications

• Pursuing a Master’s degree in Applied Mathematics, Chemical Engineering, Mechanical Engineering, or Computational Engineering.
• Must have an overall GPA of 3.0 or higher.
• Must be eligible to work in the US without sponsorship.

Preferred Qualifications

• Pursuing a PhD degree in Applied Mathematics, Chemical Engineering, Computational Engineering, or related fields.
• Theoretical foundations and practical experience with optimization algorithms, including discrete optimization and non-linear programming.
• Familiarity with thermodynamics and HVAC systems.
• Coding skills in Python and Jupyter.