Los Angeles Based Graduate Intern - Building Energy Modeling and Analysis

National Laboratory of the Rockies; Los Angeles (CA); On-site; USD 40,000 - 60,000; Full time

Job summary

The National Laboratory of the Rockies offers a graduate intern position focused on Building Energy Modeling and Analysis in Los Angeles. This hybrid role is meant for students or recent graduates in relevant engineering fields who are proficient in building energy modeling tools.

Responsibilities include modeling energy systems, data analytics, and collaborating on technical documentation. Candidates must reside in California and have a passion for energy solutions.

Qualifications

• Must be a current full-time student or recent graduate.
• Experience in building energy systems and controls.
• Knowledge of simulations and modelings, such as thermal energy storage.

Responsibilities

• Modeling building energy systems and storage systems.
• Designing control algorithms under various utility rate structures.
• Conducting data analytics and techno-economic analysis.

Skills

Building energy modeling and analysis

Proficiency in EnergyPlus

Knowledge of programming languages

Education

Bachelor's or Master's in engineering

Enrollment in a Master's or PhD program

Tools

EnergyPlus

OpenStudio

MATLAB

Job description

Job Title

Los Angeles Based Graduate Intern - Building Energy Modeling and Analysis

Location

Remote

Position Type

Intern (Fixed Term)

Hours Per Week

40

Job Description

The National Laboratory of the Rockies (NLR) leads research, innovation, and strategic partnerships to deliver integrated solutions for an affordable and secure energy future. This position will be within NLR’s Building Technologies and Science Center at its California location in Los Angeles. Our researchers are working with stakeholders to evaluate innovative electrical upgrades to Rooftop Unit (RTU) technologies that can enhance energy resilience and reduce energy conversion losses.

This position is looking for a graduate student intern who has a solid background in first-principle and building energy modeling and analysis of building energy systems.

This is a hybrid position based in the Los Angeles, CA metropolitan area. The successful candidate must reside in California for the duration of the internship.

Responsibilities

• Modeling building energy systems, energy storage systems, and integration with DOE prototypical building models
• Designing control algorithms and simulation studies under various utility rate structures
• Performing data analytics, and in-depth techno-economic analysis
• Working independently and collaborating with the project team members
• Communicating research ideas, contributing towards technical documentation and/or the production of research publications

Basic Qualifications

• Minimum of a 3.0 cumulative grade point average
• Undergraduate: Must be enrolled as a full-time student in a bachelor’s degree program from an accredited institution
• Post Undergraduate: Earned a bachelor’s degree within the past 12 months. Eligible for an internship period of up to one year
• Graduate: Must be enrolled as a full-time student in a master’s degree program from an accredited institution
• Post Graduate: Earned a master’s degree within the past 12 months. Eligible for an internship period of up to one year
• Graduate + PhD: Completed master’s degree and enrolled as PhD student from an accredited institution

Additional Required Qualifications

• Completed a bachelor’s or master’s degree in mechanical engineering, electrical engineering, systems engineering or related field, or currently enrolled in a master’s or PhD in these fields
• Must reside in California for the duration of the internship
• Demonstrated knowledge or experience in building sciences, building energy systems, thermal and/or electrochemical energy storage, and building controls
• Experience in modeling, simulation, and control of building energy systems
• Proficiency in building energy modeling and simulation tools (e.g., EnergyPlus, OpenStudio, Modelica)
• Demonstrated experience in programming languages (e.g., Python, MATLAB, Ruby) and version control (e.g., GitHub)

Preferred Qualifications

• A strong candidate will have prior research experience with DOE prototypical building models and/or thermal energy storage technologies
• Demonstrated track record of producing research publications
• Engineer in Training (EIT)

Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, domestic partner status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws.