The Advanced Undersea Systems and Technology group is a cross-disciplinary team that delivers advanced solutions to high-impact problems in the areas of ocean sensing, ocean dynamics, signal processing, artificial intelligence, system architectures, and autonomous systems.
Undersea Student Technical Assistant
The Advanced Undersea Systems and Technology Group seeks technical assistant with strong skills in scientific computing and/or machine learning to contribute to projects in oceanography, underwater acoustics and optimization of designs and placements of supporting sensors. These efforts will contribute to ongoing research to advance ocean science in support of US Navy needs. The intern will have opportunities to gain experience in a variety of areas, includin numerical modeling and data analysis, performance prediction and uncertainty quantification, systems analysis, hardware prototyping and technical oral and written communication
- BS and currently pursuing MS or PhD in Applied Mathematics, Electrical Engineering, Geophysics, Mechanical Engineering, Ocean Engineering, or related technical field
- MATLAB and Python
- Ability to manipulate large data sets
- Familiarity with common oceanographic and geophysical data formats such as HDF5 or NetCDF
- Experience with parallel computing and high performance computing (HPC) systems
- C/C++, Fortran or other compiled language
- Experience or coursework in any of the following areas: geophysical fluid dynamics, acoustics, numerical analysis/methods, optimization, estimation, data assimilation, statistical data analysis
For Benefits Information, click http://hrweb.mit.edu/benefits
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.