The Navy relies on physics-informed, passive approaches to learn about the regional oceanography at a receiver. Of particular interest are data-driven through-the-sensor signal processing approaches which exploit the dominant, acoustic energy radiated by uncontrolled, broadband surface vessel. These sources are used to estimate sea-floor depth, bottom parameters, and the sound speed structure in the water column. Near-term research contributions include, but are not limited to, understanding the information content of noise, influential oceanographic processes, source dynamics, and optimal sensor configuration. Long-term efforts include contributions to developing data-assimilation models including Bayesian approaches to estimating environmental parameters. 

Reference:

Gemba, K. L., Sarkar, J., Cornuelle, B., Hodgkiss, W. S., & Kuperman, W. A. (2018). Estimating relative channel impulse responses from ships of opportunity in a shallow water environment. J. Acoust. Soc. Am., 144(3), 1231–1244. 

key words

signal processing; acoustics; oceanography; inverse theory; physics; machine learning; detection; noise; sources of opportunity

Citizenship:  Open to U.S. citizens and permanent residents

Level:  Open to Postdoctoral applicants

Additional Benefits

Relocation

Awardees who reside more than 50 miles from their host laboratory and remain on tenure for at least six months are eligible for paid relocation to within the vicinity of their host laboratory.

Health insurance

A group health insurance program is available to awardees and their qualifying dependents in the United States.