The School for Marine Science & Technology (SMAST) at the University of Massachusetts – Dartmouth, in collaboration with the NOAA Fisheries Northeast Fisheries Science Center (NEFSC), are seeking three postdoctoral associates to lead the following projects:
- The use of fine-scale fishery dependent data to evaluate potential impacts to fishery operations due to offshore wind energy development.
- The development of oceanographic indicators from satellite data that are relevant for the management and assessment of the Northern shortfin squid, Illex illecebrosus, on the Northeast U.S. continental shelf.
- The development and evaluation of multispecies stock assessment models for tactical use in providing fisheries management advice.
Descriptions of projects and project teams can be found below.
All applicants should have strong analytical skills with a background or interest in oceanography, marine science or fisheries science.
The positions will primarily be located at the Northeast Fisheries Science Center laboratories in Narragansett, RI (positions 1 and 2) and Woods Hole, MA (position 3) with some expectations to travel to regional and national scientific meetings. The associates will work closely with NEFSC researchers and have faculty mentors at SMAST. They are also expected to engage with students and staff at SMAST, with flexibility for some work at that location (New Bedford, MA). It is anticipated that initial work for all three positions will be conducted remotely due to the COVID-19 pandemic.
The position has an annual salary of $55-60K with benefits and funding for travel to scientific meetings. Start date is flexible, and the successful candidate could begin as soon as possible. Candidates who are non-US citizens must have current authorization to work in the United States. UMass Dartmouth cannot pay or provide support for visa applications for these positions.
Required Qualifications:
- A completed (or nearly-completed) PhD degree in a relevant discipline, such as fisheries science, marine science, statistics, oceanography, ecology, quantitative ecology, or other related field that demonstrates a strong quantitative background.
- Demonstrated experience of fluency in statistical/modeling programming languages (e.g. Python, R, Matlab, AD Model Builder, C++, IDL).
- Strong written and oral communication skills, as evidenced preferably through publications in the peer-reviewed scientific literature and reporting and presentations to a variety of audiences.
Preferred Qualifications:
- Research experience in statistical analysis and data management in marine or oceanographic applications.
Interested applicants that meet the requirements should review the SMAST Code of Conduct and Diversity Statement, then submit an application consisting of cover letter, CV, and contact information for at least two professional references to the following job posting: http://careers.umassd.edu/dartmouth/en-us/job/505785/postdoctoral-associate-grantfunded.
Initial review of applications will begin 1 September 2020. Applications should be submitted by this date to receive full consideration. Questions about the positions can be directed via email to the project leads as listed below.
UMass Dartmouth values excellence, diversity, transparency, student-centeredness, accountability, innovation, engagement, collaboration, collegiality and safety. UMass Dartmouth employees and applicants for employment are protected by federal laws, Presidential Executive Orders, and state and local laws designed to protect employees and job applicants from discrimination on the basis of race, religion, color, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, family medical history or genetic information, military service, veteran status or other non-merit based factors. For more information about benefits and working at UMass Dartmouth, view the Human Resources website.
Position contacts:
Position #1
Fishery dependent data to evaluate fishery impacts to offshore wind energy development
Questions about this position can be directed by email to Dr. Steve Cadrin (scadrin@umassd.edu) or Dr. Anna Mercer (anna.mercer@noaa.gov).
Position #2
Oceanographic indicators from satellite data for management and assessment of Northern shortfin squid
Questions about this position can be directed by email to Dr. Steven Lohrenz (slohrenz@umassd.edu) or Dr. Kim Hyde (kimberly.hyde@noaa.gov).
Â
Position #3
Multispecies fisheries assessment modeling
Questions about this position can be directed by email to Dr. Gavin Fay (gfay@umassd.edu), Dr. Sarah Gaichas (sarah.gaichas@noaa.gov), or Dr. Kiersten Curti (kiersten.curti@noaa.gov)