1- Graduate student assistantship, Fisheries Science, University of Maine:
The University of Maine School of Marine Sciences seeks applicants for a graduate student (M.S or Ph.D. level) in fisheries science supported through research and teaching assistantships. The student will work under the supervision of UMaine faculty member Dr. Lisa Kerr.
Essential duties and responsibilities: The successful candidate will be expected to conduct climate-integrated fisheries modeling focused on New England groundfish. The work will involve: 1) conducting a comprehensive review of climate impacts on focal groundfish stocks, 2) examination of relationships between climate, oceanographic processes, and key aspects of groundfish stock dynamics, and 3) integration of climate information into stock assessment models.
The research will also involve application of management strategy evaluation to test alternative approaches to account for climate change impacts within the fisheries decision-making process. The student will be expected to participate in stakeholder and regional fisheries management meetings and will interact with representatives from industry, federal and state scientific agencies, fishery management councils, and non-governmental organizations.
Qualifications: The successful candidate must demonstrate: • A completed (or nearly-completed) M.S. or specialized undergraduate training or work experience in a relevant discipline, such as Fisheries Science, Marine Science, Ecology, or other related field • Knowledge of fisheries science, population dynamics, stock assessment, and fisheries management. • Strong quantitative skills, including experience with statistical analyses (e.g., regression, time series, spatial, and/or multivariate statistics), ecological modeling, and/or simulation modeling. • Proficient programmer in R. • Experience fitting models to data for fisheries stock assessment and/or experience in simulation modeling. • Strong organizational skills and ability to manage multiple tasks and timelines • Strong verbal and written communication skills. • Demonstrated ability to work independently and as part of a team.
The student will be expected to fulfill all UMaine requirements including some classes on the Orono campus. The graduate student will be supported through a combination of research and teaching assistantships.
To apply, please send the following documents to lisa.kerr1@maine.edu with subject header Graduate Assistantship:
• Resume/curriculum vitae
• a cover letter which describes your experience, interests, and suitability for the position with specific reference to the qualifications outlined above
• Contact information for three professional references
Salary: $28,000 to $30,000
Start Date08/30/2023
Last Date to Apply01/31/2023
Contact Person Lisa Kerr Contact eMail lisa.kerr1@maine.edu
To learn more about this work see: https://github.com/Northeast-Climate-Integrated-Modeling.
2- (M.S.) Graduate student assistantship in fisheries science:
Salary $24,000 to $26,00 Start Date 08/30/2023 Last Date to Apply 01/31/2023
Description The University of Maine School of Marine Sciences seeks applicants for a graduate student (M.S.) in fisheries science supported through s research assistantship. The student will work under the supervision of UMaine faculty member Dr. Lisa Kerr. The successful candidate will be expected to conduct research focused on understanding of fish stock structure.
The candidate will focus on otolith-based stock identification of Atlantic bluefin tuna. The student will work with an extensive database of existing Atlantic bluefin tuna otolith chemistry and be responsible for the application of otolith chemistry to more recently collected samples. The student will characterize mixed stock composition of bluefin tuna and evaluate trends in the time-series of otolith chemistry data.
The research will also involve conducting comprehensive review of climate impacts on Atlantic bluefin tuna and examination of relationships between climate, oceanographic processes, and key aspects of stock dynamics and movement. The student will be expected to fulfill all UMaine requirements including some classes on the Orono campus. The graduate student will be supported through a research assistantship.
About the University of Maine: The University of Maine is a community of more than 11,200 undergraduate and graduate students, and 2,500 employees located on the Orono campus and throughout the state. UMaine is the state land and sea grant university and maintains a leadership role as the System’s flagship university. As a result, it is dedicated to providing excellent teaching, research, and service at the university, state, and national levels.
About the Gulf of Maine Research Institute (GMRI): GMRI is a partnering institution with the University of Maine and a non-profit organization that provides collaborative solutions to global ocean challenges through its education, community, and science programs. GMRI is located on the waterfront of beautiful Casco Bay in Portland, Maine. GMRI is a state-of-the-art facility located close to Portland’s historic Old Port district.
Qualifications: The successful candidate must demonstrate: • Knowledge of fisheries science, population dynamics, and fisheries management. • Strong quantitative skills, including experience with statistical analyses (e.g., regression, time series, spatial, and/or multivariate statistics), ecological modeling, and/or simulation modeling. • Proficiency in R, MATLAB or similar coding platform. • Experience fitting models to fisheries data. • Strong organizational skills and ability to manage multiple tasks and timelines • Strong verbal and written communication skills • Demonstrated ability to work independently and as part of a team
To apply, please send the following documents to lisa.kerr1@maine.edu with subject header Graduate Assistantship: • Resume/curriculum vitae • a cover letter which describes your experience, interests, and suitability for the position with specific reference to the qualifications outlined above • Contact information for three professional references. Last Date to Apply 01/31/2023
Contact Person Lisa Kerr Contact eMail lisa.kerr1@maine.edu For more information To learn more see: https://gmri.org/projects/bluefin-tuna-research/.on ongoing research in Dr. Kerr’s lab see: https://gmri.org/commitments/science/quantitative-fisheries-research-lab/ To learn more see: https://gmri.org/projects/bluefin-tuna-research/.
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