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marine science research · coastal systems

Research Scientist

Remote · United States$65k/yrPosted 6 days ago
AI researchUnspecifiedFull Time
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Job Requisition: JR101439 Research Scientist (Open) Job Posting Title: Research Scientist Department: CC00496 VIMS1 | RADV | CCRM Job Family: Staff - Scientist Worker Sub-Type: Fixed Term (requires end date - benefited) (Fixed Term) Job Requisition Primary Location: Virginia Institute of Marine Science Primary Job Posting Location: Virginia Institute of Marine Science Job Description Summary: The Virginia Institute of Marine Science (VIMS) has a three-part mission of research, education, and advisory service. Our overarching goals are to: -Make seminal advances in understanding marine systems through research and discovery -Translate research findings into practical solutions to complex issues of societal importance -Provide new generations of researchers, educators, problem solvers, and managers with a coastal and marine sciences education of unsurpassed quality

The Center for Coastal Resources Management (CCRM) supports informed decision-making on resource management issues at all levels of government, including private and corporate stakeholders, through applied research, advisory services, and scientific innovation. Job Description: The Research Scientist will join the Coastal Systems Modeling Group within CCRM to support and advance research in coastal hydrodynamics, water quality processes, and next-generation operational modeling systems. The position will contribute to the development and implementation of seamless “creek-to-ocean” modeling frameworks using the SCHISM modeling system and advance artificial intelligence (AI)-based modeling approaches for coastal flooding and estuarine systems.

The Research Scientist will work collaboratively with faculty, graduate students, visiting scholars, and interdisciplinary partners while also developing independent research aligned with programmatic priorities and sponsor objectives.

Required Qualifications

Education Ph.D. in Coastal Engineering, Oceanography, Civil/Environmental Engineering, Marine Science, Applied Mathematics, or closely related field

Experience Demonstrated record of peer-reviewed research and scholarship commensurate with career stage

Experience with numerical modeling of oceanic and estuarine systems

Experience using unstructured grid models, particularly SCHISM

Experience working in interdisciplinary research teams

Knowledge, Skills & Competencies Strong quantitative and analytical skills

Advanced programming skills (e.g., Python, Fortran, MATLAB, R, C/C++)

Experience with web-based model applications or visualization tools

Knowledge of coastal and estuarine physical processes

Familiarity with uncertainty quantification and statistical analysis

Preferred Qualifications

  • Experience integrating AI or machine learning approaches into environmental modeling

  • Experience with operational forecasting systems

  • Experience working on NOAA-funded or federal research projects

  • Experience mentoring graduate students

  • Experience contributing to proposal development and grant management

Salary Range : Starting at $65,000.00

Core Duties & Responsibilities

  1. Coastal Systems Modeling & Numerical Simulation (35%) Develop, implement, and refine unstructured-grid hydrodynamic and water quality models, particularly using the SCHISM modeling framework

Support development of seamless creek-to-ocean operational forecasting systems

Conduct model calibration, validation, and performance evaluation

Perform uncertainty quantification and statistical analyses of model outputs

Maintain version control and reproducible modeling workflows

  1. AI-Based Model Development & Innovation (25%) Develop and extend next-generation AI and machine learning models for coastal flooding and estuarine processes

Integrate AI methodologies with physics-based numerical models

Explore hybrid modeling frameworks to improve predictive skill and computational efficiency

Contribute to advancing operational forecasting tools for stakeholder use

  1. Research, Scholarship & Grant Support (20%) Contribute to peer-reviewed publications, technical reports, and sponsor deliverables

Assist in preparation of grant proposals and continuation applications

Present research findings at scientific conferences, workshops, and stakeholder meetings

Support NOAA-funded research objectives and reporting requirements

  1. Collaboration & Mentorship (15%) Work closely with graduate students, postdoctoral associates, and visiting scientists

Participate in interdisciplinary research teams

Engage with collaborators across institutions and agencies

Provide technical guidance on modeling workflows and computational methods

  1. Independent Research Development (5%) Develop new research directions aligned with coastal systems modeling goals

Identify emerging funding opportunities

Contribute to strategic growth of the modeling program

Conditions of Employment Position is grant-funded and term-restricted

Continued employment contingent upon funding availability and performance

Occasional travel for conferences or collaborator meetings may be required

Occasional evening or weekend work to mee t project deadlines may be required

Additional Job Description:

Job Profile: JP0126 - Scientist II - Exempt - Salary - S10 Qualifications:

Compensation Grade

S10 Recruiting Start Date: 2026-03-03 Review Date:

Position Restrictions: Restricted Funds & Restricted Term

EEO is the Law. Applicants can learn more about William & Mary’s status as an equal opportunity employer by viewing the "Know Your Rights" poster published by the U.S. Equal Employment Opportunity Commission. https:// www.eeoc.gov/know-your-rights-workplace-discrimination-illegal

Background Check: William & Mary is committed to providing a safe campus community. W&M conducts background investigations for applicants being considered for employment. Background investigations include reference checks, a criminal history record check, and when appropriate, a financial (credit) report or driving history check.

Remote Work Disclaimer: Remote work eligibility is not guaranteed and is subject to approval. Employee eligibility depends on the likelihood of the employee succeeding in a remote work arrangement and the supervisor’s ability to manage remote workers. Departments and/or Human Resources may amend, alter, change, delete, or modify eligibility.

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