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Research Corporation of the University of Hawaii Dba RCUH PHYSICAL OCEANOGRAPHIC RESEARCH SCIENTIST - ID# 225033 in Honolulu, Hawaii

Please apply directly on the RCUH website to be considered for the position.

PHYSICAL OCEANOGRAPHIC RESEARCH SCIENTIST - ID# 225033.

CLOSING DATE:

January 24, 2025, or until filled. Applications received after this deadline may be considered only if the position is not filled or up to the date a selection has been approved by the RCUH (whichever comes first)

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INQUIRIES: Nicole Wakazuru-Yoza 808-956-5018 (Oahu).

Regular, Full-Time, RCUH Non-Civil Service position with the School of Ocean and Earth Science and Technology (SOEST), Department of Oceanography, located in Honolulu, Hawaii. Continuation of employment is dependent upon program/operational needs, satisfactory work performance, and availability of funds, and compliance with applicable Federal/State laws.

MONTHLY SALARY RANGE: $7,000 - $9,000/Mon.

DUTIES:

Supports and enhances the research and development activities of the Principal Investigator (PI) through the acquisition and analysis of oceanographic and meteorological data and their comparison with numerical model output and analytical theory. Occasionally responsible for the execution of numerical models that implement complex non-linear hydrodynamic equations of wave evolution in the littoral zone. Responsible for acquiring, editing, processing, describing, scientifically analyzing, displaying and publicizing oceanographic data from a variety of physical oceanography programs executed by the PI and other researchers. Prepares, programs, calibrates and maintains oceanographic instruments for periodic deployments in the ocean per manufacturers specifications. Designs, organizes, and executes physical oceanographic instrument deployments and recoveries nearshore. Makes independent assessments of appropriate analysis and visualization methodologies of model output and ocean data, generating new analysis code as needed, and assesses the results of the application of those methodologies. Employee uses existing software that may or may not need to be modified/debugged by employee; new software to be designed by employee based on mathematical formulae provided by PI; or new software designed solely by the employee. Employee is not expected to be able to fully interpret the results of statistical descriptions or completed scientific analyses. Under general supervision, prepares technical reports and manuscripts for publication in the peer-reviewed literature, describing the scientific underpinning, the operational methodologies, and the simulation accuracies of numerical models of open ocean waves and their interaction with the coast.

PRIMARY QUALIFICATIONS:

EDUCATION

PhD or ScD from an accredited college or university in Oceanography, Meteorology, Applied Mathematics, Physics, or related field.

EXPERIENCE

Three to five (3-5) years of experience in at least two of the following four areas: (i) configuring, running, and modifying numerical ocean models, (ii) accomplishing analyses (and their interpretation) of oceanographic data or hydrodynamic numerical model output; (iii) preparing, programming, calibrating, deploying, recovering, debriefing and maintaining physical oceanographic instruments, including mooring infrastructure in the littoral zone; and, (iv) designing, writing, debugging, validating and using software tools for the manipulation, statistical analysis, and graphical display of multi-variable physical oceanographic data sets, using either common programming languages (e.g., Python, C, HTML, etc.) or major mathematical function libraries (e.g., Python, MATLAB, MATHEMATICA). Plus, experience working with the UNIX and Microsoft PC operating systems.

KNOWLEDGE

Thorough knowledge of UNIX commands and shell scripting (e.g., C, PERL, Python, Korn or Bourne) in a networked computer environment. Knowledge of the Hypertext Markup Language (HTML). Considerable knowledge of statistical analysis and time series data analysis methods and heir implementation with high-level computer languages, as well as data display methods and implementation, as applied to physical oceanographic data. Common examples of relevant methodologies include power spectral density, directional wave spectra, bi-spectral analysis, wavelet spectral analysis, computation of confidence intervals, calculation of kinetic and potential energies, wavenumber spectra, etc. Considerable knowledge of, and hands-on familiarity with, one or more numerical model (e.g., SWAN, BOSZ, XBeach, or FUNWAVE models) for simulating surface gravity wave interactions and evolution, especially in nearshore environments.

ABILITIES and SKILLS

Ability to understand and fol

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