Publisher
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University of New Hampshire

Postdoctoral Research Associate in Underwater Acoustic Propagation and Uncertainty Modeling University of New Hampshire in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

The position is fully funded for two years through a federally funded Office of Naval Research project, contingent on the availability of external sponsor funding. The listed annual compensation is $70,000, with an additional broad compensation range displayed by the employer as $10,000–$300,000 annually.

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Country

United States

University

University of New Hampshire

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Keywords

Computer Science
Environmental Science
Mathematics
Computational Science
Earth Science
Oceanography
Data Assimilation
Model Uncertainty
Model Validation
Physics

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About this position

The University of New Hampshire is recruiting a Postdoctoral Research Associate in uncertainty modeling for underwater acoustic propagation at its Durham, New Hampshire campus.

Based in the Center for Acoustics Research and Education (CARE), this fully funded two-year postdoctoral project is supported by the federally funded Office of Naval Research. The researcher will develop physics-based and empirical models of uncertainty in acoustic propagation, validate them using existing ocean acoustic datasets, and improve estimates of the spatial and temporal properties of underwater soundscapes.

Responsibilities include developing uncertainty models applicable across ocean environments, translating propagation and uncertainty models into computationally efficient algorithms for underwater platforms, and contributing to manuscripts, conference presentations, and technical reports. The role involves interdisciplinary collaboration with researchers in academia and industry.

Applicants need a Ph.D. in applied mathematics, physics, applied physics, acoustics, or a related field and must be U.S. citizens. Strong scientific programming skills in Python, MATLAB, Fortran, C/C++, or comparable tools are required, together with expertise in physical oceanography, numerical modeling, large datasets, model validation, and uncertainty assessment. Experience with acoustic propagation modeling is preferred.

The position offers $70,000 annually and is funded for two years, subject to continued external sponsor funding. Apply through the University System of New Hampshire Workday portal with a CV/resume and cover letter.

Funding details

The position is fully funded for two years through a federally funded Office of Naval Research project, contingent on the availability of external sponsor funding. The listed annual compensation is $70,000, with an additional broad compensation range displayed by the employer as $10,000–$300,000 annually.

What's required

Applicants must hold a Ph.D. in applied mathematics, physics or applied physics, acoustics, or a related discipline. Candidates must be U.S. citizens. Required qualifications include strong communication, writing, programming, independent research, and collaborative teamwork skills; advanced knowledge of physical oceanography, numerical methods, or related acoustic-propagation principles; proficiency in scientific programming and computational tools such as Python, MATLAB, Fortran, C/C++, or comparable tools; experience working with large datasets and integrating data with acoustics models; and knowledge of model validation, uncertainty assessment, data assimilation, model initialization, downscaling, or related model-data integration approaches. Excellent analytical, critical-thinking, problem-solving, written, and oral communication skills are required, along with the ability to maintain reproducible documentation and meet project milestones. An interest in underwater acoustics or oceanography is expected. Experience in acoustic propagation modeling in any medium is preferred.

How to apply

Apply online through the University System of New Hampshire Workday careers portal. Upload a resume/CV and cover letter in the My Experience section; applications missing required documents may not be considered.

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