Group 43--Summer Research Program Intern (AI/ML)

 

Group 43—Air Traffic Control Systems

 

The Air Traffic Control (ATC) Systems Group develops and deploys advanced technologies to enable safe, efficient & secure transportation systems. Focus areas include advanced weather sensing and forecasting systems; ATC decision support systems; system architectures and cybersecurity; transportation systems evolution, including unmanned and autonomous systems; and DoD transportation systems optimization. The Group has broad expertise which permits end-to-end advanced technology development and prototyping in all these areas, as well as the agility to respond to emerging threats and opportunities, such as pandemic impacts and recovery. Extensive field evaluations and simulation studies are employed to elicit user needs, ensure user acceptance and to enable the successful transition of new technologies into operational use. Key accomplishments of the Group include the development of the Terminal Doppler Weather Radar and ASR-9 Weather Systems Processor, and deployment of a host of decision support systems at numerous ATC facilities in the United States and beyond. Broader initiatives into transportation logistics, environmental impact reduction, and aviation cybersecurity are also under way.

 

 

Job Description:

 

Intern – Data Scientist / Artificial Intelligence / Machine Learning.  The successful candidate will join a 10+ person team of researchers exploring the application of data science techniques to improve the state-of-the-art in the defense of aviation systems and networks against cyberthreats. Focus areas of this work will include pre-processing and curation of synthetic and/or real-world data sets, coding, training, and testing of machine learning models to predict anomalies and cyberattacks, and supporting demonstration of prototype capabilities to internal and external audiences.

 

Interested candidates should have a strong background and interest in the application of AI and ML techniques to solve real-world problems.
 

Experience Requirements:
 

Experience in the following is required:

• Pursuit of an undergraduate degree in data science, mathematics, computer science, or related technical field
• Demonstrated competency in working with machine learning models and mathematical/statistical data analysis methods
• Demonstrated competency in the Python programming language and associated AI/ML libraries (e.g., PyTorch)
• Demonstrated excellent oral and written communication skills
• Demonstrated ability to work well on a team and individually, including creative and critical thinking

Experience in the following areas is desired:

• Knowledge of Linux environments

 

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: 40643