The seabed knowledge base has dramatically improved over the last decade, due to advances in acquisition (e.g. Seabed 2030 mapping campaign) and modeling (geospatial machine learning applied to seabed problems). Despite these advances, much of our seafloor knowledge is derived from sediment cores, which are acquired via laborious and expensive crewed field campaigns. We seek postdoctoral researchers who will utilize sensors at various standoff distances from the seabed (water column, aerial, satellite) and/or modeling techniques (including numerical simulation and machine learning) to parameterize the seabed’s shape and composition without needing to sample it. We prioritize proposals that can also inform the temporal evolution of the seabed, including instability processes across a range of spatial and temporal scales.

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Additional Benefits

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.

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