Please communicate with individual Research Advisor(s) on the right to discuss project ideas and answer specific questions about the Research Opportunity.
Predictions of total water level (TWL) are necessary for long-term coastal planning and early warning systems including the USGS/NOAA Total Water Level and Coastal Change Forecast (TWL & CC forecast). However, substantial uncertainty remains in the prediction of the dynamic wave runup component of TWL. One area of uncertainty is how along-shore variable morphologies effect wave runup, as this is not accounted for in the current TWL & CC forecast system. Examples of long-shore variable morphologies include beaches with rip channels, cuspate beaches, headlands, inlets, and irregular coral and rocky reefs.
This research opportunity focuses on testing and improving wave runup predictions using observations and advanced numerical modeling with an emphasis on along-shore variable morphologies. It is expected that the successful candidate could improve the understanding of wave transformation, wave setup, and wave runup using analysis and hindcasts of recent field and laboratory experiments. This enhanced understanding will then be used to inform the development of future versions of the TWL&CC forecast.
Interested applicants are strongly encouraged to contact the Research Advisor(s) early in the application process to discuss project ideas.
Proposed Duty Station: Remote duty station in the United States
Areas of PhD: Oceanography, coastal engineering, or related fields (candidates holding a Ph.D. in other disciplines, but with extensive knowledge and skills relevant to the Research Opportunity may be considered).
Qualifications: Applicants must meet the qualifications for: Research Oceanographer.
(This type of research is performed by those who have backgrounds for the occupations stated above. However, other titles may be applicable depending on the applicant's background, education, and research proposal. The final classification of the position will be made by the Human Resources specialist.)
Human Resources Office Contact: Audrey Tsujita, 916-278-9395, firstname.lastname@example.org