Summer Research Program Intern 2027, AI and Geospatial Analysis for Natural Hazards (04-47)

MIT Lincoln Laboratory; Lexington (MA); On-site; USD 34,000 - 60,000; Part time

Benefits offered by this job

Housing support

Discounted university housing

Relocation payment

Shuttle transportation

Job summary

MIT Lincoln Laboratory is seeking a Summer Research Program Intern for 2027 in AI and Geospatial Analysis for Natural Hazards. You will join a multidisciplinary team to design AI-based analysis tools, integrate GIS data, and evaluate prototype visualization tools related to natural-hazard resilience.

The role focuses on agentic AI workflows, geospatial processing, data engineering, and quantitative analysis, with mentorship and professional development opportunities during the 10–12 week summer

Qualifications

• Pursuing a BS, MS, or PhD in a technical field (CS/DS/Engineering) is welcome.
• Strong problem solving, independent and team work, and written/oral communication are required.
• Experience with Python and AI/ML concepts is expected.
• Familiarity with GIS, data visualization, and quantitative analysis is advantageous.

Responsibilities

• Develop agentic AI workflows to extract, connect, and analyze information from technical documents.
• Integrate GIS and geospatial data to evaluate geographic coverage and portfolio gaps.
• Develop and evaluate prototype analysis and visualization tools for hazard planning.

Skills

Python

AI/ML basics

GIS

Data analysis

Communication

Education

BS/MS/PhD in CS/DS/ENG

Tools

GIS software

Visualization tools

Job description

Summer Research Program Intern 2027, AI and Geospatial Analysis for Natural Hazards (04-47)

The Energy Systems Group at MIT Lincoln Laboratory develops technology solutions that enhance the resilience and efficiency of both civilian and defense infrastructure systems. This includes conducting strategic analyses to assess natural and adversarial threats to critical infrastructure sectors, identifying and developing technology solutions to mitigate these risks and enhance resilience, and developing hardware and real-time simulation testbeds.

The Energy Systems Group seeks a summer intern to work within a multi-disciplinary team developing an AI-enabled portfolio analysis capability. Using agentic AI, the team will integrate DoW-funded R&D documentation with technical and geospatial data to identify trends and gaps, assess prior investments, and guide future research addressing natural-hazard risks. The candidate will help design and implement these AI-based analysis tools. Tasks may include:

• Developing agentic AI workflows for extracting, connecting, and analyzing information across technical documents
• Integrating GIS and natural hazard data to assess geographic coverage, needs, and portfolio gaps
• Developing and evaluating prototype analysis and visualization tools

The software and analyses produced by the candidate will contribute to an enduring portfolio-analysis capability used to inform future research investments and operational priorities.

Candidates who are pursuing a B.S., M.S., and/or Ph.D. in computer science, data science, engineering, applied mathematics, geographic information science, or a related technical discipline will be considered. Candidates must have strong problem-solving skills, work well independently and in teams, and possess effective written and oral communication skills.

A successful candidate is required to have Python software development experience and demonstrated capability or interest in a subset of the following areas:

• Large language models, AI agents, RAG, or related AI/ML methods
• GIS, geospatial analysis, and spatial data processing
• Data engineering, visualization, and quantitative analysis
• Natural hazards, infrastructure resilience, or systems analysis

The Summer Research Program offers students the chance to apply their academic knowledge to real-world national security challenges while working alongside leading scientists and engineers. As an SRP intern, you’ll engage in hands‑on research, receive dedicated mentorship, and take part in professional development opportunities including workshops, tech talks, and networking events—all while building connections within a vibrant community of peers.

• Internships are typically 10–12 weeks, with flexible start and end dates, typically May through early August.
• Housing support is available for eligible non-local interns, including access to discounted university housing in Boston and a one‑time taxable relocation payment.
• Complimentary daily shuttle transportation is provided from Boston‑based housing to and from the Lab.

Hourly pay rates are based on the highest academic year or degree completed before the internship start date.

Freshman year completed: $25.00/hour
Sophomore year completed: $27.00/hour
Junior year completed: $29.00/hour
4th year of 5 year program completed, no degree conferred: $32.00/hour
Bachelors completed: $34.50/hour
Bachelors + 1, one year of graduate study completed: $36.50/hour
Bachelors + 2, two years of graduate study completed: $38.00/hour
MS completed: $39.00/hour
MS + 1, one year of graduate study completed after the MS: $41.00/hour
MS + 2, two years of graduate study completed after the MS: $42.50/hour
MS + 3, three years of graduate study completed after the MS: $43.50/hour

Selected candidate will be subject to a pre‑employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance.

MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required.