Postdoctoral Research Associate - Uncertainty Modeling

Posted Yesterday
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Campus, IL, USA
In-Office
10K-300K Annually
Entry level
Edtech • Professional Services
The Role
Conduct independent research on uncertainty modeling for underwater acoustic propagation. Develop physics-based and empirical models, validate them with ocean acoustic datasets, and translate them into computationally efficient algorithms for underwater platforms. Collaborate with interdisciplinary academic and industry researchers, contribute to manuscripts and technical reports, maintain reproducible documentation, and meet federally funded project milestones.
Summary Generated by Built In

This postdoctoral researcher position is an essential staff role within Center for Acoustics Research and Education (CARE) supporting a federally funded Office of Naval Research (ONR) research project. This research position will investigate models and their uncertainty for underwater acoustic propagation to better estimate the spatial and temporal properties of underwater soundscapes. The successful applicant will develop physics-based and empirical models for uncertainty in acoustic propagation and validate them with existing ocean acoustic data sets. This position is fully funded for two years and will function as part of an interdisciplinary team of researchers in academia and industry.
The position requires a high level of independent research skill and technical expertise in physical oceanography, numerical modeling, acoustic propagation, and scientific computing. The postdoctoral researcher will develop, apply, evaluate, and integrate uncertainty modelling into the predictions of soundscapes, and will collaborate with project researchers working in complementary technical areas. As essential staff, the postdoctoral researcher is required to maintain research continuity and meet project milestones during periods of departmental curtailment, ensuring timely completion of federally funded research and reporting obligations.

Duties/Responsibilities

  • Develop models for uncertainty in underwater acoustic propagation that are applicable to a wide range of ocean environments. (40%)

  • Lead efforts to translate propagation and uncertainty models into computationally efficient algorithms that can be executed on underwater platforms. (40%)

  • Assist in the development of manuscripts, conference presentations, and technical reports to document and communicate research findings. (20%)

Requirements

Minimum Acceptable Education & Experience:

  • 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.

Knowledge, Skills & Abilities:

  • Advanced knowledge of physical oceanography, numerical methods, or closely related principles relevant to acoustic propagation modeling.

  • Proficiency in scientific programming and computational tools commonly used in numerical modeling and environmental data analysis, such as Python, MATLAB, Fortran, C/C++, or comparable languages and tools.

  • Ability to work with large datasets and to integrate these data with acoustics models.

  • Knowledge of model validation, uncertainty assessment, data assimilation, model initialization, downscaling, or related model-data integration approaches.

  • Excellent analytical, critical-thinking, and problem-solving skills for addressing complex physical and computational research questions.

  • Excellent written and oral communication skills and the ability to communicate technical modeling results effectively to multidisciplinary research teams and funding agencies.

  • Ability to work independently and collaboratively, manage research tasks, maintain reproducible technical documentation, and meet project milestones and deadlines.

Other Requirements:

  • U.S. citizenship is required due to the nature of the federally funded research and applicable export-control and project access requirements.

Preferred Qualifications:

  • Experience in acoustic propagation modeling in any medium.

Applicant Instructions

Applicants should be prepared to upload the following documents when applying online within the My Experience: Resume/Cover Letter section of your application:

  • Resume/CV

  • Cover Letter

Applications that are missing any of the required items may not move forward for consideration.  Additional uploaded documents not requested in the position announcement will not be reviewed.

Compensation Pay Range

$70,000.00/Annual

Please be advised that this position is supported by external sponsor funding. As such, continued employment in this role is contingent upon the availability of those external funds. If, for any reason, the sponsor funding is reduced or discontinued, employment may be subject to modification or termination in accordance with applicable policies and procedures. 

The University of New Hampshire is an R1 Carnegie classification research institution providing comprehensive, high-quality undergraduate and graduate programs of distinction. UNH is located in Durham on a 188-acre campus, 60 miles north of Boston and 8 miles from the Atlantic coast and is convenient to New Hampshire’s lakes and mountains. There is a student enrollment of 13,000 students, with a full-time faculty of over 600, offering 90 undergraduate and more than 70 graduate programs. The University actively promotes a dynamic learning environment in which qualified individuals of differing perspectives, life experiences, and cultural backgrounds pursue academic goals with mutual respect and shared inquiry.

EEO Statement

The University System of New Hampshire is an Equal Opportunity/Equal Access employer. The University System is committed to creating an environment that values and supports diversity and inclusiveness across our campus communities and encourages applications from qualified individuals who will help us achieve this mission. The University System prohibits discrimination on the basis of race, color, religion, sex, age, national origin, sexual orientation, gender identity or expression, disability, genetic information, veteran status, or marital status.

Compensation Pay Range:

$10,000.00 - $300,000.00

The pay range for this position is listed above. Actual offer will be based on skills, qualifications, experience, and internal equity, in addition to relevant business considerations. More information on benefits can be found here: USNH Employee Benefits | Human Resources

Location:

Durham

Skills Required

  • Ph.D. in applied mathematics, physics, applied physics, acoustics, or a related discipline
  • Strong communication, writing, and programming skills
  • Demonstrated ability to conduct research independently and collaboratively
  • U.S. citizenship
  • Interest in underwater acoustics or oceanography
  • Advanced knowledge of physical oceanography, numerical methods, or related acoustic propagation modeling principles
  • Proficiency in scientific programming and computational tools such as Python, MATLAB, Fortran, C, C++, or comparable languages and tools
  • Ability to work with large datasets and integrate data with acoustics models
  • Knowledge of model validation, uncertainty assessment, data assimilation, model initialization, downscaling, or related model-data integration approaches
  • Excellent analytical, critical-thinking, and problem-solving skills
  • Excellent written and oral communication skills for explaining technical modeling results
  • Ability to work independently and collaboratively, maintain reproducible technical documentation, and meet project milestones and deadlines
  • Experience in acoustic propagation modeling in any medium
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The Company
HQ: Concord, NH
Year Founded: 1974

What We Do

The University System of New Hampshire is the largest provider of postsecondary education in the Granite State, operating three educational institutions that offer a broad array of education, research, and public services.

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