Summer Research Intern - Machine Learning

About the Intelligence and DecisionTechnologies Group:

The Intelligence and Decision Technologies Group develops prototypes to demonstrate innovative command and control technology and open system architectures that measurably improve intelligence and military decision making.  This work begins with an understanding of the workflows of intelligence analysts and military commanders, often through operations research.  Operational data sets are amassed to support all types of algorithm development, such as multisensor fusion, “big data” mining, cloud technologies, graph-based network detection, and artificial intelligence, including deep learning.  The group guides the nation in the adoption of open architecture standards in air, space, and cyber platforms.  Prototype systems for data exploitation and knowledge management are delivered for evaluation in theater.  Areas of technical staff expertise include systems analysis, modeling and simulation, feature extraction and pattern analysis, computer vision, natural language processing, machine learning, software development, and field experimentation.


Position Description

The Intelligence and Decisions Technologies Group is seeking summer interns to contribute to the following 2018 MIT Beaver Works Summer Institute (BWSI) programs:

  • : Autonomous Cognitive Assistant
  • : Data Science for Health and Medicine

The MIT Beaver Works Summer Institute is a rigorous, world-class STEM program for talented rising high school seniors.  For more information on BWSI and the Cog*Works and Medlytics programs, visit

Interns will spend four weeks working at MIT Lincoln Laboratory to establish familiarity with the curriculum, develop novel software and hardware applications, and build solutions to challenging machine-learning problems.  Afterwards, interns will spend four weeks (July 9-August 5) on campus co-instructing the courses alongside Lincoln Laboratory staff.

Tasks for Cog*Works and Medlytics programs include the following:

  • Improving existing course content for robustness and usability
  • Creating templates and prototyping solutions for weekly challenge problems
  • Developing and implementing novel hardware solutions and machine learning algorithms
  • Co-instruction of course material to top high school students across the nation

 Position Requirements:

  • Current undergraduate or graduate students in Computer Science, Physics, Electrical Engineering, Mathematics or other technical field, coupled with the demonstrated ability to apply talents to new fields.
  • Demonstrated excellence in communication skills and the ability to convey technical concepts in a clear, concise manner to a wide spectrum of audiences are required.
  • Familiarity with machine learning concepts.
  • Significant experience with mathematical and object-oriented programming (preferably in Python).
  • Interest in course development and educational instruction.
  • Ability to start summer employment no later than June 11, 2018.

Desired Skills:

  • Experience with Python, Git, and Jupyter.
  • Familiarity with advanced machine learning (e.g., neural networks).

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.

MIT Lincoln Laboratory
Full time
Massachusetts, US