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

National Laboratory of the Rockies • Boulder, CO

1d • Onsite

About The Position

NLR is seeking a graduate fall intern to design and optimize distributed hybrid energy systems focused on producing chemical end-uses. This will feature integration of technologies such as across generation, storage, the distribution system, and 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. This researcher is expected to demonstrate a broad understanding and wide application of engineering principles, theories and concepts as well as general knowledge of hybrid energy related disciplines and applications. The researcher will work with a variety of customers including federal, state, and industry partners. The successful candidate will have excellent writing, interpersonal and communication skills. 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.

Requirements

• Minimum of a 3.0 cumulative grade point average.
• Must be enrolled as a full-time student in a master’s degree program from an accredited institution.
• Earned a master’s degree within the past 12 months.
• Eligible for an internship period of up to one year.
• Completed master’s degree and enrolled as PhD student from an accredited institution.
• Must meet educational requirements prior to employment start date.
• Excellent writing, interpersonal and communication skills.

Nice To Haves

• Experience with distributed hybrid energy system design.
• Experience with modeling chemical processes such as ammonia.
• Experience with Python programming languages.
• Comfortable working in high performance computing environments.

Responsibilities

• Design and run analyses and optimizations of distributed hybrid energy systems to determine optimal sizing technically and economically.
• Deploy scalable strategies for varying hybrid plant sizes in real-time.
• Use a variety of simulation tools including, H2Integrate.
• Demonstrate a broad understanding and wide application of engineering principles, theories and concepts as well as general knowledge of hybrid energy related disciplines and applications.
• Work with a variety of customers including federal, state, and industry partners.
• Help publish results in technical journals/conference proceedings.
• Present work at conferences, symposia, and sponsor review meetings.
• Support the development of new work proposals, preparations, and reviews.

Benefits

• Medical insurance
• Dental insurance
• 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 (not guaranteed)
• Relocation expense reimbursement (for some positions)

What This Job Offers

• Job Type: Full-time
• Career Level: Intern