Address
Form of workCountry:
United States of America
Location:
CAG10: ALC HQ 1025 Cobb Place Blvd, Kennesaw, GA, 30144 USA
About Carrier
Carrier Global Corporation, global leader in intelligent climate and energy solutions is committed to creating solutions that matter for people and our planet for generations to come. From the beginning, we've led in inventing new technologies and entirely new industries. Today, we continue to lead because we have a world-class, diverse workforce that puts the customer at the center of everything we do.
About this role
This internship will focus on reducing global energy consumption and carbon footprint in large-scale and highly integrated energy systems, including data centers, energy stations, and district heating/cooling networks.
Buildings account for 40% of energy consumption globally, and heating, cooling, and ventilation (HVAC) accounts for a significant share. These challenges can be addressed by using models, optimization, and ML methods. There are major computational challenges to fully realize the high-efficiency potential of integrated energy systems, including selection of system topology and equipment selection, quantification of energy efficiency, sensitivity to varying weather and load conditions, and operation, i.e., controls. Applications ranging from systems and control design, Model and data-driven discrete optimization, non-linear programming, and ML algorithm application are key to bringing forward innovative solutions.
Key Responsibilities
Required Qualifications
Preferred Qualifications
#EarlyCareers
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.
Job Applicant's Privacy Notice:
Click on this link to read the Job Applicant's Privacy Notice
United States of America
Location:
CAG10: ALC HQ 1025 Cobb Place Blvd, Kennesaw, GA, 30144 USA
About Carrier
Carrier Global Corporation, global leader in intelligent climate and energy solutions is committed to creating solutions that matter for people and our planet for generations to come. From the beginning, we've led in inventing new technologies and entirely new industries. Today, we continue to lead because we have a world-class, diverse workforce that puts the customer at the center of everything we do.
About this role
This internship will focus on reducing global energy consumption and carbon footprint in large-scale and highly integrated energy systems, including data centers, energy stations, and district heating/cooling networks.
Buildings account for 40% of energy consumption globally, and heating, cooling, and ventilation (HVAC) accounts for a significant share. These challenges can be addressed by using models, optimization, and ML methods. There are major computational challenges to fully realize the high-efficiency potential of integrated energy systems, including selection of system topology and equipment selection, quantification of energy efficiency, sensitivity to varying weather and load conditions, and operation, i.e., controls. Applications ranging from systems and control design, Model and data-driven discrete optimization, non-linear programming, and ML algorithm application are key to bringing forward innovative solutions.
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 Bachelor's degree in Engineering, Chemical Engineering, Mechanical Engineering, or related fields
- 3.0 or higher GPA
- Must be eligible to work in the US without sponsorship
Preferred Qualifications
- Pursuing Master's in Computational, Chemical or Mechanical Engineering, or Applied Mathematics.
- 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
#EarlyCareers
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.
Job Applicant's Privacy Notice:
Click on this link to read the Job Applicant's Privacy Notice
