About The Position

The Homeland Protection Systems Group is seeking highly motivated candidates with a passion for complex problems. As a Student Technical Assistant in this group, you would support ongoing technical efforts to solve complex problems pertaining to radar and machine learning. This is a part-time, term-time position intended to run October through December 2026, with the possibility of extension into subsequent terms based on performance and continued availability.

Requirements

  • Currently enrolled in a degree program. All degree levels (Undergraduate, Master's, and PhD) are welcome to apply.
  • Commitment to approximately 20 hours per week during the Fall 2026 academic term
  • Prior coursework and/or experience in one or more of the following areas: machine learning, principles of software development, signal processing and data structures.
  • Experience in the programming languages C++ and Python
  • Experience with state of the art machine learning approaches and architectures
  • Strong written and verbal communication skills
  • Ability to work both independently and collaboratively within a team environment

Nice To Haves

  • A GPA of 3.5 or higher is preferred.

Responsibilities

  • Assistance with data collection, analysis and preprocessing
  • Supporting ongoing testing of real-time machine learning systems as applied to radar
  • Developing scripts and tools to shorten development feedback loops and deploy machine learning systems at scale
  • Presenting work to a broad technical audience in a clear and concise manner
  • Participating in team meetings and contributing to technical discussions

Benefits

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