ZipRecruiter

Log In

1

Internship Energy Modeling Jobs in Minnesota (NOW HIRING)

next page

Showing results 1-20

All JobsEnergy Modeling JobsInternship Energy Modeling JobsInternship Energy Modeling Jobs in Minnesota

Internship Energy Modeling information

What is an internship in energy modeling?

An Internship in Energy Modeling is a temporary position where students or recent graduates gain practical experience working with simulation tools and software to analyze the energy performance of buildings, systems, or processes. Interns assist senior engineers or analysts by developing models, running simulations, and interpreting data to help improve energy efficiency and sustainability. This role provides hands-on exposure to the principles of energy modeling, building codes, and green building certifications, making it an excellent stepping stone for a career in energy or environmental engineering.

What typical projects might an intern in energy modeling work on, and how do these contribute to the team’s overall objectives?

As an intern in energy modeling, you may assist with creating and analyzing building energy simulations, evaluating the impact of various energy conservation measures, or updating existing models with new data. These projects not only help you develop technical skills with industry-standard software but also provide valuable insights for the team to optimize energy use and support sustainability goals. Your work contributes directly to client deliverables and helps inform larger energy strategies, making your role integral to the team's mission.

What are the key skills and qualifications needed to thrive as an energy modeling intern, and why are they important?

To thrive as an Energy Modeling Intern, you typically need a background in engineering, architecture, or environmental science, along with strong analytical and quantitative skills. Familiarity with energy modeling software such as eQUEST, EnergyPlus, or IESVE, and proficiency in tools like Excel or Python, is highly valuable. Attention to detail, effective communication, and the ability to work collaboratively enhance your contributions in this role. These skills ensure accurate analysis, clear reporting, and successful teamwork in projects focused on optimizing building energy performance.

What is the difference between Internship Energy Modeling vs Energy Analyst?

AspectInternship Energy ModelingEnergy Analyst
CredentialsTypically pursuing or recent graduate in engineering, environmental science, or related fieldsBachelor's or master's in energy, environmental science, or related disciplines; certifications like LEED or AEE beneficial
Work EnvironmentInternship setting, often in consulting firms, utilities, or energy companiesFull-time professional role in similar environments, with more responsibility
Job FocusAssisting with energy modeling, data collection, and analysisPerforming detailed energy analysis, reporting, and project development

Internship Energy Modeling provides hands-on experience in energy modeling tools and data analysis, ideal for students or recent graduates. In contrast, an Energy Analyst is a full-time role requiring more expertise and responsibility in analyzing energy systems and advising on projects. Both roles are essential in the energy industry but differ mainly in experience level and scope of work.

What are popular job titles related to Internship Energy Modeling jobs in Minnesota?

For Internship Energy Modeling jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Internship Energy Modeling jobs in Minnesota look for?

The top searched job categories for Internship Energy Modeling jobs in Minnesota are:

What cities in Minnesota are hiring for Internship Energy Modeling jobs?

Cities in Minnesota with the most Internship Energy Modeling job openings:

Internship Energy Modeling jobs near you

Graduate Engineering Intern - Building Controls Modeling & Simulation

Daikin Applied

Plymouth, MN • On-site

$30 - $33/hr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 days ago

Job description

Join the world's largest HVAC company, named by Forbes as one of America's Best-In-State Employers 2025!
Graduate Engineering Intern - Building Controls Modeling & Simulation - Plymouth, MN - Hybrid
Make your mark at the world's largest HVAC company
Daikin Applied is seeking a highly motivated graduate engineering student for a full-time, 10 month engagement as a Graduate Engineering Intern (Building Controls Modeling & Simulation). This position will support the development of a generic, parameterizable building energy and controls model using Modelica / Dymola, with integration into FMU-based workflows and MATLAB/Simulink environments.
This effort will serve as a proof of concept (PoC) demonstrating that physics-based building models can be used to evaluate transient behavior, robustness, and performance of building automation and control strategies in greater than real time Model in the Loop (MiL) simulations.
The longer-term vision is to evolve this capability into a scalable engineering and decision support tool, potentially leveraging AI and machine learning, to help applications and sales engineers size, tune, and compare optimal building control solutions across a wide range of building types and operating conditions.
Come be a part of an exciting journey at Daikin Applied, where innovation and excellence drive our every endeavor!
Location: Plymouth, MN - Hybrid
Timeline: This Internship opportunity will start approximately May-June 2026 (flexible to align with academic schedules) and has an end date of December 2026
What you will do:
  • Develop a generic, modular, and parameterizable building model in Modelica/Dymola suitable for multiple building archetypes and HVAC/control configurations.
  • Leverage and extend existing Modelica building libraries (e.g., Berkeley National Laboratory / Modelica Buildings Library) where appropriate.
  • Implement and evaluate building automation and control strategies within a dynamic simulation framework.
  • Export and integrate models as FMUs (Functional Mock-up Units) for use in MATLAB/Simulink MiL simulations.
  • Demonstrate transient system behavior, control robustness, and performance under disturbances, parameter variation, and uncertainty.
  • Optimize model structure and solver settings to enable faster-than-real-time simulation performance.
  • Collaborate with engineering stakeholders to define modeling scope, use cases, and success criteria for the PoC.
  • Clearly document model architecture, assumptions, limitations, and validation results.
  • Explore opportunities to incorporate AI/ML techniques (e.g., surrogate modeling, optimization, or design-space exploration) to enhance scalability and usability.

What's in it for you:
  • The ability to make an impact and shape your career with a company that is passionate about growth
  • The support of an organization that believes it is vital to include and engage diverse people, perspectives, and ideas to achieve our best

Minimum Qualifications:
  • Currently enrolled M.S. or Ph.D. student in Mechanical Engineering, Electrical Engineering, Architectural Engineering, Controls Engineering, or a closely related field.
  • Academic or research focus in building automation, building energy modeling, HVAC systems, or advanced control methods.
  • Experience with Modelica and Dymola, or equivalent equation-based physical modeling tools.
  • Strong foundation in dynamic systems, control theory, and numerical simulation.
  • Experience using MATLAB/Simulink for modeling, simulation, or control development.
  • Proficiency in technical programming or scripting (MATLAB, Python, or similar).
  • Ability to work independently on an applied, deliverables-driven project and communicate results clearly.

Preferred Qualifications:
  • Familiarity with the Berkeley National Laboratory Modelica Buildings Modeling Library.
  • Experience with the FMI/FMU standard and multi-tool simulation workflows.
  • Knowledge of building automation systems (BAS) architectures and control strategies.
  • Exposure to MiL, SiL, real-time, or accelerated simulation workflows.
  • Coursework or experience in optimization, reduced-order modeling, or machine learning.
  • Interest in applying AI/ML methods to physics-based engineering models and decision-support tools.

Benefits:
  • Daikin Applied offers the following benefits for this position, subject to applicable eligibility requirements:
  • Multiple medical insurance plan options + dental and vision insurance
  • 401K retirement plan with employer match
  • Paid time off and company paid holidays
  • Paid sick time in accordance with the federal, state and local law
  • Tuition Reimbursement after 6 months of continuous service

The typical hourly rate for this position ranges from $30.00/ hr. to $33.00 / hr. in Minnesota. The range displayed represents the pay range for all positions in the job grade which this position falls. Individual base pay will depend on a wide range of factors including your skills, qualifications, experience, and location.
#LI-DF1
If you're looking for an engaging career with growth opportunities in a supportive environment, you'll love a career at Daikin Applied!

Apply