Postdoctoral Research Associate

Job Details

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.

Duties/Responsibilities  

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.

Requirements

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 

  Libraries

• Experience acquiring ground-truth data

• Familiarity with the Gulf of Maine ecosystem

Contact Information