A critical focus for these positions will be to assist in the development, implementation and integration of performance metrics, enhancements to modelling and modelling processes, integration of models (focused on marine ecosystems primary) and/or modelling platforms and ensuring documentation of these activities. The position contributes to cross-disciplinary model integration and ensures outputs are fit for use in decision environments, supporting long-term delivery and implementation of science-based conservation solutions.
Working closely with an interdisciplinary team of environmental modelers and decision support experts who are working to deliver a range of capabilities and operational tools and models to support quantitative scenario analysis and robust decision making, you will:
- Carry out programming and data analysis for model development and integration, principally in Julia and R, but may also involve a variety of programming languages such as Python, MATLAB and C++,
- Develop and maintaining models to represent critical ecosystem processes and integrating these to support integrated modelling activities,
- Assist in further development of models to enable their dynamic interoperation across cross-cutting concerns/contexts,
- Contributing to the preparation of manuscripts, including documentation, presentations, reports and journal articles, and
- As necessary assist in project management and providing guidance to students and early career researchers.
About you
You will hold a Ph.D. in environmental science, computer science, physics, mathematics or related field, which is supported by your experience in environmental/ecosystem modelling, in particular in decision support contexts. Your experience will be in programming in scientific contexts, with proven experience in the integration of models across socio-environmental boundaries and domains. You will be comfortable with mathematical modelling, application of GIS and remote sensing concepts and spatial optimization.
Your experience in the scientific field will ensure that you have a high level of academic achievement, having produced a number of high-quality publications and other forms of research outputs. And you will have well developed interpersonal skills which enable you to deliver high level professional services within the scientific research environment. Previous experience with spatial data analysis, developing open-source software for scientific research applications, a keen interest in furthering skills in scientific software development, and experience with mechanistic ecological modelling would be highly desirable.
Salary Range: AIMS AOF Level 4 salary (Bands 2 to 5) ($100,862 to $110,957 per annum) plus 15.4% superannuation
Application deadline: July 23, 2025
