Stock Assessment Scientist

The University of Tasmania acknowledges the palawa/pakana and Gadigal/Wangal people as the traditional custodians of the land, sea and waters of the areas upon which we live and work. We recognise their valuable contributions and deep connection to country and pay respect to Elders past and present. 

• Shape Tasmania's fisheries future through world-leading stock assessment and recovery science
• Apply advanced quantitative modelling to real-world fisheries management with lasting environmental impact
• Ongoing, full time role based in Hobart - Relocation considered for the right applicant!

About the opportunity

Join a team working at the forefront of fisheries science in our Modelling Program. One of your first roles will be to help rebuild one of Tasmania's most significant and highly valued recreational scalefish fisheries. This role offers a unique opportunity to apply cutting-edge quantitative approaches to a high-profile fisheries recovery program that will directly inform management and conservation outcomes. The successful applicant will lead the development and application of advanced stock assessment models, with a particular focus on Management Strategy Evaluation (MSE) and length-based equilibrium modelling for Sand Flathead. These models will underpin stock assessments and evaluate management scenarios designed to achieve rapid recovery to agreed biological reference points. Working closely with collaborators from the Department of Natural Resources and Environment Tasmania, the position will also contribute to the development of a contemporary harvest strategy for the fishery. The role will evolve into developing stock assessment models for a range of different species, supporting the development of harvest strategies for the management of Tasmania’s marine resources.

What you’ll do:

• Lead the development and application of quantitative stock assessment models.
• Deliver high-quality scientific outputs that directly inform fisheries management.
• Collaborate effectively with project partners, including the Department of Natural Resources and Environment Tasmania.
• Provide scientific support within the project, managing modelling workflows, contributing to project planning, communicating complex quantitative analyses to technical and non-technical audiences.
• Contribute to the University's research excellence and capability.­

What we’re looking for:

•  A PhD or equivalent in fisheries science, quantitative ecology, applied mathematics, statistics, population dynamics or a closely related discipline.
• Demonstrated expertise in quantitative fisheries stock assessment.
• Advanced programming and analytical skills, with demonstrated proficiency in R and/or other relevant scientific programming languages.
• Demonstrated ability to communicate complex quantitative concepts to both technical and non-technical audiences.
• Experience working collaboratively with government agencies, industry, recreational fishing organisations and other stakeholders.

Salary details

Appointment to this role will be at Academic Level C and will have a total remuneration package of up to $184,076 comprising base salary within the range of $138,536 to $157,330 plus 17% superannuation.

How to Apply

• To apply online, please provide the following supporting documentation:
  • Resume
  • Your responses to the success criteria from the Position Description below
• For further information about this position, please contact Katie Cresswell, Stock Assessment Scientist - Benthic Invertebrates, Katie.Cresswell@utas.edu.au
• Please visit https://www.utas.edu.au/jobs/applying for our guide to applying and details on the recruitment process.
• For current UTAS staff, in submitting your application, you acknowledge you have/intend to discuss your interest in this vacancy with your current manager and understand they may need to be contacted confidentially by the hiring manager as part of the assessment of your application.
• Please refer to the attached Position Description Below for full details.

 Position Description - 503941 - Stock Assessment Scientist.pdf

Applications close Tuesday, 8 September 2026, 11.55pm

As part of our commitment to a safe and inclusive workplace, employment history and police checks may be conducted as part of the selection process.