Marine Physics Naval Research Scholarship Program

Abstract

This proposal serves to increase the number of graduate students receiving training in marine physics and related engineering topics at the Marine Physical Laboratory (MPL), Scripps Institution of Oceanography – UC San Diego. MPL was established 76 years ago at the close of WWII in recognition for the need of a University-based laboratory to conduct navy relevant basic research. A majority of the MPL academic community are involved in ONR-funded, seagoing research to study air-sea interaction, underwater acoustics and marine bioacoustics, physical oceanography, marine optics, radar oceanography, and marine robotics. A hallmark of MPL is the engineering and data analytics associated with conducting and interpreting novel measurements of the ocean to understand physical processes. While students are traditionally involved in research through the budgeting of graduate student stipends within research grants, there is excess opportunity to involve more students in the vibrant research programs at MPL. In addition, research grants are typically shorter (3 years) than the required time to obtain a Ph.D. (5-6 years), often resulting in instabilities late in a graduate student’s tenure. This proposal seeks to stabilize and expand the educational and training opportunities at MPL, with the intention to increase the next-generation, sea-going workforce to support problems of national interest. As a pilot program in support of Task Force Ocean, MPL will create the TFO 10+2 program: support of 10 graduate students and 2 post docs to augment existing ONR graduate student and post doc support.

Document Details

Document Type
DoD Grant Award
Publication Date
Feb 06, 2023
Source ID
N000142312170

Entities

People

  • Eric Terrill

Organizations

  • Office of Naval Research
  • United States Navy
  • University of California, San Diego

Tags

Fields of Study

  • Environmental science

Readers

  • Aerospace Research.
  • Research Science/Academic Research
  • STEM Education

Technology Areas

  • AI & ML
  • Autonomy