Summer Research Program Intern 2027, Energy Systems (Group 04-47)
About The Position
The Energy Systems Group at MIT Lincoln Laboratory develops technology solutions to enhance the resilience and efficiency of civilian and defense energy systems. Its work includes advanced power-grid architectures and system designs, control techniques for microgrids and distributed energy resources, and hardware and real-time simulation testbeds. The intern will work within a multidisciplinary team developing technologies to secure and strengthen U.S. critical infrastructure. The role focuses on developing software solutions that advance AI/ML algorithms for energy infrastructure. Project assignments will depend on the intern’s interests and background and may involve AI/ML solutions, datasets, data pipelines, or user interfaces. The Summer Research Program provides hands-on research experience addressing national security challenges, mentorship, and professional development through workshops, technical talks, and networking events. Internships typically last 10–12 weeks, with flexible start and end dates, generally from May through early August.
Requirements
- Be in the process of earning a B.S., M.S., and/or Ph.D. in computer science, computer engineering, electrical engineering, physics, mathematics, or a related technical discipline.
- Have strong problem-solving skills.
- Work effectively both in teams and independently.
- Possess effective written and oral communication skills.
- Have software development skills, particularly in Python.
- Be able to obtain and maintain a Secret-level DoD security clearance.
- Meet the U.S. citizenship requirement.
Nice To Haves
- Experience with software design, development, and testing.
- Fundamentals in object-oriented programming.
- Experience with DevSecOps tools and workflows.
- Rudimentary knowledge of machine-learning algorithms and techniques.
- Working knowledge of power-system architectures and configurations.
Responsibilities
- Design, train, implement, and evaluate novel AI/ML solutions for energy system infrastructure.
- Develop and curate normalized datasets using real-world sensor measurements augmented with synthetically generated data.
- Design and implement data pipelines to support the evaluation of AI/ML algorithms.
- Design and implement user interfaces for a broader evaluation platform.
Benefits
- Mentorship and professional development opportunities, including workshops, tech talks, and networking events.
- Housing support for eligible non-local interns, including access to discounted university housing in Boston and a one-time taxable relocation payment.
- Complimentary daily shuttle transportation from Boston-based housing to and from the Lab.
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
No Education Listed
