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.
Intern – Deep Learning for Meteorology. The successful candidate will join a small team of meteorologists and machine learning engineers working on problems related to tornado detection and prediction in order to better understand tornadoes in the context of a changing climate. Specifically, deep learning methods will be used to integrate several datasets for the purpose of detecting tornadic precursors across data sources. Statistical analysis of existing performance and results, as well as experimental deep learning methods will be part of the candidate’s tasks. Relating these results to a changing climate will be a particularly important aspect of the work. Assistance in analysis and writing of journal publications is expected as appropriate.
Interested candidates should have a strong background and interest in meteorology, climate, statistics, and deep learning.
Experience in the following is required:
- Pursuing a graduate degree in meteorology or another related field in the physical sciences or engineering
- Knowledge of meteorology and basic statistics
- Experience in the area climate science
- A strong knowledge of general Python and some knowledge of deep learning methods in Python
- 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 radar meteorology
- 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.
To safeguard our health and well-being, MIT Lincoln Laboratory requires COVID-19 vaccination for all employees. Individuals may request exemption from the vaccine requirement for medical or religious reason.
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: 36139