Fully Funded Postdoc: Underwater Acoustics & Uncertainty

University of New Hampshire; United States; On-site; USD 63,000 - 77,000; Full time

Job summary

The University of New Hampshire invites applications for a postdoctoral researcher position in the Center for Acoustics Research and Education (CARE). The project focuses on modeling uncertainty in underwater acoustic propagation to better quantify soundscapes and to validate models with ocean data.

The successful candidate will develop physics-based and empirical uncertainty models, integrate them into predictions, and collaborate with interdisciplinary researchers.

Qualifications

• A Ph.D. in applied mathematics, physics/applied physics, acoustics, or related discipline.
• Strong communication, writing, and programming skills.
• A demonstrated ability to conduct research independently and as part of a collaborative team.
• Candidate must be a US citizen.
• An interest in underwater acoustics or oceanography.

Responsibilities

• Develop models for uncertainty in underwater acoustic propagation applicable to diverse ocean environments.
• Translate propagation and uncertainty models into computationally efficient algorithms for underwater platforms.
• Assist in developing manuscripts, conference presentations, and technical reports to document findings.

Skills

Independent research

Collaboration

Communication

Numerical modeling

Data analysis

Uncertainty quantification

Problem-solving

Oceanography knowledge

Education

Ph.D. in applied mathematics, physics/applied physics, acoustics, or related discipline

Tools

Python

MATLAB

C/C++

Fortran

Git

Job description

The University of New Hampshire invites applications for a postdoctoral researcher position in the Center for Acoustics Research and Education (CARE). The project focuses on modeling uncertainty in underwater acoustic propagation to better quantify soundscapes and to validate models with ocean data.

The successful candidate will develop physics-based and empirical uncertainty models, integrate them into predictions, and collaborate with interdisciplinary researchers.