(Los Angeles Based) Graduate Intern - Building… at National… · Los…

Summary: The National Laboratory of the Rockies (NLR) is dedicated to advancing energy innovation through research and systems integration. They are seeking a Graduate Intern to model building energy systems and perform data analytics to enhance energy resilience and reduce energy conversion losses. 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 technoeconomic analysis - Working independently and collaborating with the project team members - Communicating research ideas, contributing towards technical documentation and/or the production of research publications Required 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 - 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) Required Skills: Building energy modeling, EnergyPlus, Python Important Skills: MATLAB, Data analytics Nice-to-Have Skills: Research publications Benefits: Medical, dental, and vision insurance, 403(b) Employee Savings Plan with employer match, Sick leave (where required by law), Performance-, merit-, and achievement- based awards that include a monetary component, Relocation expense reimbursement