drjobs Computational Engineer Intern- Fall

Computational Engineer Intern- Fall

Employer Active

1 Vacancy
drjobs

Job Alert

You will be updated with latest job alerts via email
Valid email field required
Send jobs
Send me jobs like this
drjobs

Job Alert

You will be updated with latest job alerts via email

Valid email field required
Send jobs
Job Location drjobs

Kennesaw, GA - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Country:

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 weve led in inventing new technologies and entirely new industries. Today we continue to lead because we have a worldclass diverse workforce that puts the customer at the center of everything we do. For more information visit or follow Carrier on social media at @Carrier

About this role

This internship will focus on reducing global energy consumption and carbon footprint in largescale 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 highefficiency 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 datadriven discrete optimization nonlinear 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 opensource packages in Python R Julia etc.
  • Deploy workflows to Carrier design teams.

Required Qualifications

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



#EarlyCareers

RSRCAR

Carrier is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin age disability or veteran status or any other applicable state or federal protected class. Carrier provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans Readjustment Assistance Act.

Job Applicants Privacy Notice:

Click on this link to read the Job Applicants Privacy Notice


Required Experience:

Intern

Employment Type

Full-Time

About Company

Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.