Fisheries Modeller (Experienced) - NIWA

National Institute of Water & Atmospheric Research - NIWA

NIWA's purpose is to enhance the economic value and sustainable management of New Zealand's aquatic resources and environments, to provide understanding of climate and the atmosphere and increase resilience to weather and climate hazards to improve safety and wellbeing of New Zealanders.

We are seeking a Fisheries Modeller with a senior level breadth of mathematical, statistical, modelling and programming skills in fisheries analysis, as well as leadership and mentoring capability. You will join a team of specialist fisheries and stock assessment staff, and will apply statistical and mathematical techniques to problems related to the distribution, abundance and dynamics of fish populations, and species such as seabirds and marine mammals taken as fishery by-catch, as well as the development of marine ecosystem modelling approaches. You will support both consultancy and research projects, focusing on fisheries stock assessment and the effects of fishing on the environment. The work will primarily be on projects contracted to NIWA by the Ministry for Primary Industries, the Department of Conservation, and the Ministry of Business, Innovation and Employment, and potentially other clients (e.g., the fishing industry). You will have an advisory role with colleagues across NIWA, and may also supervise postgraduate students wishing to pursue fisheries modelling careers.

You will lead, or contribute to, the development of highly innovative and complex software solutions and/or databases, products and/or complex models, including:

  • Analyses or simulation studies using programming languages such as C++ and R
  • Population dynamics/ecosystem models
  • Tools for spatial population modelling and state space modelling
  • Design, revise, and review new methodologies
  • Reporting and presentation of results to both technical and non-technical audiences.

You will have a PhD in fisheries/mathematical science or a closely related field, with ideally 10 or more years of experience in the development of statistical methods in support of fisheries science. You will have the ability to communicate effectively to a wide range of audiences, will be innovative, self-motivated, have great attention to detail and be able to work within and lead project teams.

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