Nuclear Fuel Cycle Undergraduate Student Intern

Summary

Join Lawrence Livermore National Laboratory (LLNL) as a part-time, remote undergraduate intern on the Adaptive Computing Environment and Simulations (ACES) team. This Spring academic year internship focuses on fuel cycle modeling, involving simulations, user-guide development, and team collaboration. You will work with scientists and engineers, learning to run simulations and present results. The role requires familiarity with nuclear fuel cycle physics and Python programming. LLNL offers competitive pay, benefits including holiday pay and sick leave accrual, and a commitment to diversity and inclusion.

Requirements

• Must be a continuing college or university student in good standing at an accredited institution pursuing an undergraduate degree in Nuclear Engineering, Physics, Computer Science, Data Science, or other related fields
• Working knowledge of Python programming language, with the ability to write functional code
• Effective written communication skills
• Ability to work in a team environment
• Ability to present and communicate concepts and ideas
• Desire to learn more about the nuclear fuel cycle
• Eagerness to obtain an understanding of new application areas
• Exposure through coursework or relevant experience to the nuclear fuel cycle

Responsibilities

• Work with scientists, engineers, and technical staff members to provide technical research support to a project in computational nuclear engineering
• Learn to run simulations and visualize the results
• Produce a user-guide that teaches others to run the simulation
• Attend meetings, participate in research planning and present your results to the team
• Perform other duties as assigned

Benefits

• Holiday Pay
• Sick leave accrual
• Individual 401(k) contributions