Internship: Tomographic Ionosphere Imaging
MERL is seeking a highly motivated intern to conduct research on ionospheric monitoring and forecasting. The ideal candidate should be a Ph.D. student and have a solid background and publication record in tomographic imaging, imaging inverse problems, analysis of inversion algorithms, and/or convex optimization. Experience with deriving recovery guarantees for real tomographic imaging systems is highly desirable. Familiarity with GNSS-based ionospheric density measurement methodologies is desirable. Publications of the results produced during the internship is expected. The duration of the internship is expected to be three months.
Research Areas: Computational Sensing
Contact: Hassan Mansour
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