Grid Science Student Intern

About the role

The Computational Intelligence & Modeling Group (A-1) at Los Alamos National Laboratory (LANL) seeks a Post Bachelors student in computer science, electrical engineering, or related fields. The ideal candidate will support the development of user-friendly R&D software capabilities for advanced decision support and analysis.

Responsibilities

• Work on deliverable-focused tasks for the U.S. Department of Energy's Office of Electricity, including developing software applications in Julia and demonstrating tools on real-world applications.
• Research topics such as phase unbalanced power system modeling, control and optimization of transmission and distribution networks under uncertainty, design of resilient networks, and/or analysis of interdependent networks.

Requirements

• Programming experience in Python and MATLAB.
• Experience with collaborative software development and related tools (e.g., git).
• Ability to work effectively in a collaborative and multi-disciplinary scientific environment.
• Demonstrated dedication to continuous learning and a high level of self-motivation and independence.

Qualifications

• Minimum Job Requirements: Bachelor's degree in a STEM field within the past three years, minimum cumulative GPA of 3.0.
• Desired Qualifications: Programming experience in multiple languages, experience in electric power transmission, distribution, and/or microgrid modeling, experience formulating and solving mathematical optimization problems.

Benefits

Includes PPO or High Deductible medical insurance with the same large nationwide network, dental and vision insurance, free basic life and disability insurance, paid childbirth and parental leave, award-winning 401(k) (6% matching plus 3.5% annually), learning opportunities and tuition assistance, flexible schedules and time off (PTO and holidays), onsite gyms and wellness programs, extensive relocation packages (outside a 50 mile radius), and more.

Pay

Details about pay are not specified in the job posting.

Schedule

Details about the schedule are not specified in the job posting.