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Deliver rigorous stock assessments and clear scientific advice; Collaborate with government, industry, and research partners; Full time, ongoing role based in Hobart; The Stock Assessment Scientist - Scalefish will contribute essential, high-quality science to support the sustainable management of Tasmania’s Scalefish fisheries and, where required, other fisheries assessed within the Sustainable Marine Collaboration Agreement (SMRCA). The role focuses on applying quantitative skills in fisheries modelling, data analysis, and stock assessment to generate robust evidence that informs management decisions. Working within the IMAS Fisheries and Aquaculture Modelling Program, the position provides an opportunity for an emerging scientist to work closely with senior researchers, government partners, and industry stakeholders to address real-world marine resource challenges.
Job Responsibility:
Produce timely, defensible stock assessment reports and well-structured, quality-controlled data workflow for priority Scalefish species
Build strong relationships with Government and industry stakeholders through clear communication, responsiveness, and professional engagement
Undertake analysis, modelling, and interpretation, and contribute to collaborative problem-solving within the Fisheries & Aquaculture Modelling Program
Contribute to the University’s research goals by progressing peer-reviewed manuscript, methodological improvement, or funding proposals
Support supervision activities, helping to foster student engagement in fisheries science
Requirements:
A PhD or equivalent in a relevant field such as fisheries or marine science, statistics, quantitative ecology, population dynamics, or resource modelling
Demonstrated expertise, or clear capacity to develop expertise, in quantitative fisheries stock assessment, including statistical modelling, population indicators, data analysis, and end-to-end fisheries data stewardship
Experience engaging with stakeholders such as government agencies, fisheries managers, and industry representatives, with scientific independence and integrity in multi-interest environments
Strong written and verbal communication skills, including technical report writing, data visualisation, and delivery of information to scientific and non-scientific audiences
Ability to contribute to a collaborative research environment, supporting data stewardship, methodological improvement, and innovation