Postdoctoral Fellow/Fisheries Oceanography
University of Massachusetts Dartmouth

Dartmouth, Massachusetts

Posted in Education and Training

Job Info

Job no: 516859
Work type: Staff Full Time
Categories: Other Staff Positions

OFFICAL JOB TITLE: Postdoctoral Fellow

DIVISION: Academic Affairs

DEPARTMENT: Fisheries Oceanography

WORKING TITLE: Postdoctoral Research Fellow



JOB CODE: 1965


REPORTS TO: Dr. Gavin Fay

SUPERVISES: Graduate and undergraduate student research assistants

SUMMARY PURPOSE OF POSITION: Statistical and ecosystem modeling research and development of decision support tools to support ecosystem-based fisheries management decision-making. Provide scientific and technical analysis and project leadership for the Fisheries and Ecosystem Management (Fay Lab) research group and conduct semi-independent research under the supervision of the UMass Dartmouth faculty member (Dr. Gavin Fay). The successful candidate will be expected to engage and manage in all aspects of the research group including the preparation and submission of grant proposals, report writing, publishing research results, supervising students and research staff, and interacting with industry, funding agencies and collaborators.

Follow the University's best practices to build and/or support student academic success and retention and assist in meeting strategic objectives for persistence and timely graduation of all the student population.


  • Statistical and numerical modeling of fish population and fishery ecosystem dynamics, in single-, multi-species, and ecosystem context for stock assessment and management.
  • Application of simulation frameworks such as Management Strategy Evaluation to test the performance of options for Ecosystem-Based Fisheries Management and scientific monitoring in the context of system change.
  • Advanced statistical analysis of marine fisheries and ecosystem data
  • Participate in stakeholder meetings, leveraging best practices from structured decision making to integrate stakeholder objectives and knowledge for tactical and strategic decision-making for fisheries and coastal communities.
  • Advise students in development of interactive decision support and visualization tools
  • Use open data science tools to contribute to data and management workflow efforts to promote sharing, use, and reproducibility of scientific products, including code repository documentation and management.
  • Synthesize and share results in scientific papers and to industry, management, and at appropriate scientific meetings
  • Participate in regional stakeholder workshops and project team meetings
  • Supervise graduate and undergraduate research assistants
  • Interact with industry, federal and state scientific agencies, fishery management councils, and non-governmental organizations
  • Collaborate with mentor(s) to develop and track progress towards an individual professional development plan


EDUCATION: Ph.D. or equivalent in a relevant field

EXPERIENCE: Research experience

OTHER: Record of peer-reviewed publications


  • Ph.D. in a relevant discipline, such as fisheries science, quantitative ecology, fisheries ecology, statistics, data science, or another field that demonstrates a strong quantitative background. A relevant MS degree plus appropriate work experience may potentially be substituted.
  • Experience analyzing and modeling marine ecosystems, fishery population dynamics, and/or fishery economics with statistical, economic, and/or simulation models
  • Demonstrated experience and fluency in relevant programming languages, particularly R
  • Strong written and communication skills and excellent organizational ability
  • Demonstrated ability to work independently and as part of a collaborative team


  • Stock assessment and Management Strategy Evaluation experience
  • Experience developing tools and interfaces for user access to, and interaction with, data and model outputs
  • Experience with structured decision making, tradeoff analysis, and decision support
  • Familiarity with relevant data sets, including climate model outputs, spatial ocean data, fish and marine ecosystem surveys, and fishery-dependent data
  • Experience in and understanding of marine fisheries and fishing communities
  • Engagement with fishery and fishing community stakeholders and decision-makers
  • Presentations and discussions with stakeholder audiences
  • Use of GitHub to collaborate on code and manage projects
  • Experience working in high performance cloud computing environments

NOTE: Other job-related duties and responsibilities may be assigned and/or the job description changed periodically to reflect changing organization needs.

NOTE: All position descriptions need to be completed and approved before recruiting activities begin. All updated or revised administrative position descriptions must be approved by the appropriate Vice Chancellor/designee and the Associate Vice Chancellor of Human Resources/designee. All new administrative position descriptions must be approved by the Vice Chancellor/designee, and Associate Vice Chancellor of Human Resources. If applicable, the Office of Human Resources will provide notice to and consult with the union representative.

UMass Dartmouth offers exciting benefits such as:

75% Employer-Paid Health Insurance
Flexible Spending Accounts
Life Insurance
Long Term Disability
State Pension Retirement Plan
Optional Retirement Savings Plans
Tuition Credit (Employee, Spouse, & Dependents)
Twelve (12) paid holidays
Paid personal, vacation, and sick time
And More!

Benefits for Non-Unit Professional: Non-Unit Professional

Applicants must be authorized for employment in the U.S. on a full-time basis. Employment-based visa sponsorship not available.

Important Notice!

UMass Dartmouth requires COVID-19 vaccinations for all faculty, staff, and students who wish to work, live, learn or physically come to campus. Read More.

To apply please submit a letter of interest, current resume and the contact information for at least two professional references.

The review of applications will be ongoing.

Advertised: 12 Dec 2022 Eastern Standard Time
Applications close:

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