Energy Systems Analyst Graduate Intern - Fall 2026

Job description

The Computational Engineering Division (CED) is seeking an Energy Systems Analyst Graduate Student Intern. The opening is for a graduate-level student who has received a bachelor’s or master’s degree who will be given the opportunity to engage in practical research to further their educational goals. The intern will provide technical support for research on energy systems modeling, technoeconomic and lifecycle assessment, geospatial analysis, and network optimization. The work may address synthetic and biofuels, alternative feedstock utilization, hydrogen systems, and technology commercialization and scale-up. This is a part-time internship requiring approximately 10 to 20 hours per week for 6 to 9 months. In this role you will Conduct technoeconomic and lifecycle assessments of synthetic fuels, biofuels, alternative feedstock utilization, hydrogen production and transport, and related energy technologies. Develop and apply geospatial analysis and network optimization using infrastructure, supply chain, market, and technology data. Synthesize research findings to evaluate system configurations, technology scale-up potential, and deployment strategies. Conduct research under limited direction and supervision. Collaborate with scientists, engineers, and analysts in a multidisciplinary team environment. Prepare technical summaries, presentations, visualizations, and other project deliverables. Perform other duties as assigned. Must be eligible to access the Laboratory in compliance with Section 3112 of the National Defense Authorization Act (NDAA). See Additional Information section below for details. Must be a continuing student in good standing at an accredited institution pursuing a graduate degree or have completed a bachelor’s degree. Ability to work part time, approximately 10 to 20 hours per week, for 6 to 9 months. Academic or research experience in energy systems, chemical engineering, environmental engineering, mechanical engineering, industrial engineering, economics, operations research, data science, or a related field. Demonstrated experience or coursework in one or more of the following: technoeconomic assessment, lifecycle assessment, geospatial analysis, network optimization, or energy systems modeling. Familiarity with one or more of the following: Python, MATLAB, R, Excel, GIS software, or optimization solvers. Effective written and verbal communication skills. Ability to work independently, manage assignments, and collaborate effectively in a team environment. Qualifications We Desire GPA of 3.5 or above. Excitement about working on challenging energy problems. Pay $10,215 Monthly Please note that the pay is determined by California’s Computer Professional Exemption. All your information will be kept confidential according to EEO guidelines. Why Lawrence Livermore National Laboratory? Included in 2026 Best Places to Work by Glassdoor! Holiday Pay Sick leave accrual Individual 401(k) contributions Our values - visit Security Clearance None required. However, if your assignment is longer than 179 days cumulatively within a calendar year, you must go through the Personal Identity Verification process. This process includes completing an online background investigation form and receiving approval of the background check. National Defense Authorization Act (NDAA) The 2025 National Defense Authorization Act (NDAA), Section 3112, generally prohibits citizens of China, Russia, Iran and North Korea without dual US citizenship or legal permanent residence from accessing specific non-public areas of national security or nuclear weapons facilities. The restrictions of NDAA Section 3112 apply to this position. To be qualified for this position, Candidates must be eligible to access the Laboratory in compliance with Section 3112. Pre-Employment Drug Test External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor. Wireless and Medical Devices Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices. If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities require separate approval. 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All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws. Reasonable Accommodation Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request. California Privacy Notice The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here . Join us and make YOUR mark on the World! Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability. Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact. Depending on your assignment, this position may offer a hybrid schedule, blending in-person and virtual presence. You may have the flexibility to work from home one or more days per week.