ENSURING CRITICAL U.S. SPACE ACTIVITIES
Monitoring of both extraterrestrial and terrestrial environments from space yields important information about the nature and movements of spacecraft and celestial bodies, the activity of weather systems, and the topography of Earth. Our group develops electro-optical, infrared and microwave sensor systems for detecting and tracking natural phenomena and human-made space objects. Our researchers analyze hyperspectral imagery generated by spaceborne and airborne sensors to determine the significant features of space objects and terrains of interest. Working with other Laboratory divisions and collaborators from government agencies and academia, we have designed and prototyped next-generation space-based sensor systems, ranging from a precision instrument to detect exoplanets to a constellation of advanced radiometric instruments to better understand storm structures.
The Applied Space Systems Group is seeking an Associate Staff to support various Electro-optical and Radio-Frequency remote sensing applications.
- The candidate will support efforts to develop new data exploitation techniques, detection algorithms, and modeling tools.
- Experience in statistical signal processing as applied to exploitation of hyperspectral Earth imagery from satellite sensors is desirable.
- Candidate should have a strong physical understanding of radiometry, detection processes, and electronics.
- Experience with Matlab and Python are necessary.
- Candidate should have excellent written and oral communications.
- MS in Electrical Engineering, Physics, Astronomy, or related areas.
- In lieu of an MS, will consider BS with 3 – 5 years experience.
For Benefits Information, go to 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.