The Homeland Decision Support Systems Group focuses on end-to-end system architectures design, decision support, and advanced analytics to enhance the protection of the homeland and U.S. interests overseas. In collaboration with industry and academia, we are working at the frontiers of AI to develop and integrate advanced decision support prototypes that can address national security needs in the land, sea, air, and space domains. We have deployed real-time enterprise and edge solutions that support the warfighters at multiple Combatant Commands across the globe, providing a measurable impact to their missions.
Our technical expertise spans deep learning, computer vision, natural language processing, graph theory, big data architectures, operations research, and system autonomy. Our goal is to enhance national security by leading the nation in developing and deploying advanced decision support systems utilizing cutting edge AI and machine learning technologies.
Our group is seeking motivated graduate students and experienced undergraduates to assist with projects addressing homeland security challenges with software engineering, algorithm development, and/or machine learning. Summer student assignments may include research on state of the art algorithms in computer vision, reinforcement learning, and/or representation learning applied to challenging, real-world datasets. The candidate will work in a team-oriented development environment. Learn more about what our team does here https://www.ll.mit.edu/r-d/homeland-protection/artificial-intelligence-software-architectures-and-algorithms.
The summer internship program is open to candidates with varying educational levels, including those in the process of earning a Bachelor’s, Master’s, or Ph.D. degree in a technical field such as Physics, Mathematics, Electrical or Computer Engineering, Computer Science, or a related field.
Requirements
Experience in the following is required:
Proficient in Python Experience with one or more machine learning libraries such as PyTorch, Pytorch Lightning, or TensorFlow Experience with software engineering concepts, including version control (e.g., Git), and unit testing
Experience in one or more of the following is desired:
Proficient with data analysis libraries (e.g., Pandas) or languages (e.g., Matlab) Experience with applying ML algorithms to real-world datasets
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.
Requisition ID: 41658