[Remote] Graduate Fall Intern – Modeling and Analysis of Distributed Hybrid Energy Systems

Note: The job is a remote job and is open to candidates in USA. National Laboratory of the Rockies is a mission-driven research laboratory advancing energy innovation through research and systems integration. The graduate intern will design, model, analyze, and optimize distributed hybrid energy systems for chemical end-uses, assess technical and economic sizing, and develop scalable real-time strategies. The role also involves collaborating with partners, publishing and presenting research, and supporting proposals and technical reviews.

Responsibilities

• Design and optimize distributed hybrid energy systems focused on producing chemical end-uses
• The intern will design and run analyses and optimizations of distributed hybrid energy systems to determine optimal sizing technically and economically
• The researcher will need to deploy scalable strategies for varying hybrid plant sizes in real-time
• The researcher will use a variety of simulation tools including, H2Integrate
• The researcher will work with a variety of customers including federal, state, and industry partners
• The candidate will be expected to help publish results in technical journals/conference proceedings and present work at conferences, symposia, and sponsor review meetings
• They will also be expected to support the development of new work proposals, preparations, and reviews

Skills

• 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
• The preferred candidate will have experience with distributed hybrid energy system design and experience with modeling chemical processes such as ammonia
• The preferred candidate will have experience with Python programming languages and be comfortable working in high performance computing environments

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• 403(b) Employee Savings Plan with employer match, based on eligibility rules
• Sick leave where required by law
• NLR employees may be eligible for, but are not guaranteed, performance-, merit-, and achievement-based awards that include a monetary component
• Some positions may be eligible for relocation expense reimbursement

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