Postdoctoral Research Associate

Postdoctoral Research Associate

The Center for Coastal and Ocean Mapping at the University of New Hampshire (UNH) seeks an exceptional marine scientist to fill a Postdoctoral Research Associate position. The successful candidate will hold a Ph.D. in marine biology or a closely related field and will have experience in marine geospatial analytics, remote sensing, machine learning and benthic systems.

This position offers an opportunity to contribute to cutting-edge research, particularly advancing the use of remote sensing datasets and machine learning for constructing predictive models for benthic and pelagic fisheries and aquaculture site selection. The role is supported by a grant-funded project and includes opportunities for publishing, presenting, and mentoring. This is a one-year position.

Research & Analysis (90%)

• Conduct independent research focused on integrating robust machine learning and statistical approaches with acoustic data to investigate relationships of seafloor and environmental variability.
• Assist in acquiring ground-truth data for this and related projects
• Travel as required to present research at national and international conferences

Collaboration and Mentorship (10%)

• Assist with the preparation of annual progress reports, conference papers and journal articles
• Provide mentorship to graduate students and staff working on related topics.

Minimum Acceptable

Education & Experience:

• Ph.D. in Marine Biology, Ecology, Oceanography or related field
• Demonstrated expertise in remote sensing, machine learning and data acquisition
• Ability to work independently while contributing to collaborative, interdisciplinary research

Required Licenses &

Certifications:

• Boating license
• AAUS Scientific Diving Certification

Knowledge, Skills & Abilities:

• Strong analytical, problem solving, and research skills to design, integrate and interpret complex datasets
• Effective communication and collaboration abilities, including writing publications and engaging with interdisciplinary teams, and delivering presentations.
• Self-management and attention to detail, with the ability to work independently and learn emerging tools and methods.

Preferred Qualifications:

• Experience utilizing bathymetric, remote sensing and optical datasets for machine learning
• Experience acquiring ground-truth data
• Familiarity with the Gulf of Maine ecosystem

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

$65,000.00/Annually

This is a Fiscal Year position (26 pay periods)

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.

Location:

Durham

Salary Grade:

Faculty 01