The Minderoo Foundation

Research Lead – Fisheries Sustainability

The Minderoo Foundation Perth CBD Western Australia,

Full Time

[Posted 15d ago]

Apply for this job

Minderoo Foundation is a modern philanthropic organisation. We take on tough, persistent issues with the potential to drive massive change. We incubate ideas and accelerate impact. We push the limits of what is believed possible. Minderoo Foundation is independent, forward thinking and seeks effective, scalable solutions. We are proudly Australian, and one of Asia’s largest philanthropies, with AUD $2 billion committed to a range of global initiatives. Our team comprises over 100 employees across seven locations. 

Flourishing Oceans aims to transition our oceans to a healthy, thriving state. A flourishing ocean is one that can withstand a changing climate and increasing human pressure, is resilient, and free from pollution with healthy ecosystems and marine populations. As human pressure increases and the state of our ocean continues to decline, dramatic steps are required to protect and conserve this resource.

To facilitate this, we are committed to ending overfishing, promoting biodiversity conservation, eliminating the harmful effects of plastics, and facilitating world class research and education.

About the role

Based in Perth, the position leads the design and execution of impactful research into the state of marine fish stocks globally, working expand our understanding of current conditions and trends, with a focus on data-limited fisheries. 

Your key responsibilities will include:

  • Oversee the development and implementation of an innovative method for collecting and assessing fisheries data in 100+ maritime countries as part of Minderoo’s Global Fishing Index.
  • Ensure that all data are complete, consistent, high quality and fit-for purpose.
  • Lead the interpretation and presentation of fisheries sustainability results within the Global Fishing Index and related outputs.
  • With the broader research team, explore and interpret sustainability results in relation to fisheries governance, socioeconomic, and environmental context.
  • Inform the development of a strategy and messaging for communicating research results to a range of audiences.

About you

To be considered for this position you MUST HAVE:

  • Postgraduate degree in fisheries science or natural resource management 
  • Technical expertise in fisheries or natural resource assessment or management, particularly the application of data-limited approaches 
  • Demonstrated quantitative analytical skills and ability to work confidently with complex data sets.
  • Familiarity with machine learning and Bayesian statistical approaches
  • Excellent communication skills, and ability to translate technical details for diverse audiences.

Of vital importance is that you will be a solutions-oriented and self-motivated individual who is a daring leader, takes initiative, and has a passion for the ocean and living our values.

Are you resilient enough to bounce back up, dust yourself off and go again with enthusiasm and a never, ever give up attitude after being knocked back or pushed down?

Are you really up for the challenge?

Next Steps

Please attach your resume and a cover letter explaining why you are up for the challenge!

Please Note: Applications close on 30/5/2021

Tattarang and Minderoo Foundation embraces Equal Opportunity and promotes diversity. We actively encourage Aboriginal & Torres Strait Islanders, people of all backgrounds, ages, sexual orientation, and those with Disability to apply. 


The International Society for Ecological Modelling Global Conference

The International Society for Ecological Modelling Global Conference 2022: Ecological Models for Tomorrow’s Solutions

3-7 May 2022 | University of Toronto, Scarborough, Canada

Call for abstracts! Submit here

Call for symposium proposals! Deadline: 17 September 2021

The International Society for Ecological Modelling Global Conference 2022 (ISEM 2022), under the theme ‘Ecological Models for Tomorrow’s Solutions’, will bring together scientists from all professions and applications that deal with the use of ecological models and systems ecology.

Toronto shall be the inspiring space for the Ecological Modelling community to meet, discuss and share ideas. In this conference, ecological modellers will join in their ongoing effort in advancing the concepts and methods of ecological modelling to develop ecological theory in a wide range of topics and modelling approaches.

Quick links

The rigorous analysis of decision problems in environmental management requires specification of criteria to evaluate alternative management strategies; predictive models formulated in terms of variables relevant to management objectives; a finite set of management actions, including any constraints on their use; and monitoring programs to follow ecosystem responses to management.

In this context, the major challenges are associated with the uncertainty in the predictions of management outcomes. This uncertainty may stem from incomplete control of management actions, errors in measurements and sampling, environmental variability, or incomplete knowledge of system behavior. Failure to recognize and account for these sources of uncertainty may lead to catastrophic environmental and economic losses.

Accordingly, there has been a growing interest in the policy practice of adaptive management, which is an iterative implementation strategy that is recommended to address the uncertainty associated with ecological forecasts and to minimize the impact of inefficient management plans. Adaptive implementation or “learning while doing” augments initial forecasts of management actions with post-implementation monitoring, and the resulting integration of monitoring and modelling provides the basis for revised management actions.

ISEM 2022 aims to provide insights into the current state of the field of ecological modelling, and also highlight the major challenges in supporting adaptive management implementation.

Conference Topics

We invite contributions that present novel strategies to improve the contribution of models to environmental management, including the development of ecological model ensembles, novel uncertainty analysis techniques, Bayesian inference methods, emerging techniques of data assimilation and model optimization.

Abstracts are now invited on the following topics and symposiums. They should be submitted using the online abstract submission system.

Abstract Submission Deadline: 12 November 2021

  • Dynamic ecosystem models
  • Uncertainty analysis
  • Ensemble modelling
  • Data assimilation and optimization techniques
  • Machine learning and (big) data
  • Model integration, metamodels
  • Individual-based modelling
  • Software and tools
  • Bioenergetics: Dynamic energy budget models
  • Network modelling
  • Models of socio-ecological systems
  • Models of global, climate and land-use change
  • Sustainability and resilience
  • Ecosystem services
  • Biodiversity and conservation
  • Community models
  • Marine ecology and fisheries
  • Forests
  • Freshwaters (lakes and rivers)
  • Models of epidemics

Supporting publication

Ecological Modelling

Conference hashtag #ISEM22

Organised in association with



  1. Applications of a SWAT model to evaluate the contribution of the Tafna catchment (north-west Africa) to the nitrate load entering the Mediterranean Sea
  2. Prototype of a predictive Pyrodinium bahamense monitoring system for Eastern Visayas Philippines
  3. Zoning criteria of Samar Island Natural Park (SINP): a GIS-aided protected area zoning
  4. Assessment of the factors affecting the existence of wetlands: The case of Cheleleka wetlands, Sidama Region, Ethiopia
  5. Modelling approaches for the biomonitoring and assessment of environmental stress
  6. Review of prediction models application in surface water quality
  7. Measuring the resilience of exploitation systems from agricultural water based on good governance principles
  8. Investigating the effects of urban expansion on the conservation of coastal vegetation environments: Case of Buffalo City Metropolitan Municipality, South Africa
  9. Novelty predictors for shrub (and climbers) ecological niche modelling, based on their succession stage
  10. Future of process-based ecological models for lakes
  11. Ecological and environmental impacts modeling in renewable energy utilization
  12. Networks: A symposium on (socio-)ecological connectivity
  13. Analyzing policies that support a sustainable, shared-prosperity economy across 50 countries
  14. Model of socio-ecological system including questions of poverty, inequality, ethics and justice in the societies of low income countries
  15. Climate change effects on shrimp’s distribution of commercial importance in the Gulf of California
  16. Population invasion, dispersal and assessment under stressful environmental conditions
  17. Emergence and stability of mutualistic interactions
  18. Machine learning for wildlife ecological conservation
  19. Dynamic biogeographic models– forecasting the effects of global changes for biodiversity conservation and environmental management
  20. Watershed ecosystems services modeling for assessment, management, and economic valuation
  21. Formalize description of regional sustainable development – theoretical basis
  22. Multispecies models informing management of aquatic systems
  23. Modelling and forecasting the impacts of climate change on host-parasite dynamics and disease
  24. Determination and comparison of urban heat islands with landsat data analysis and urban cooling model, case study of Edirne District
  25. Modeling human impacts for ecosystem-based management
  26. Modelling approaches to support social-ecological system interactions in a changing environment
  27. The succession rate of phytoplanktonin the power plant cooling-reservoir in Siberia

Postdoctoral scholar in fisheries science

Announcement of Postdoctoral Research Opportunity

May 8, 2021

Pacific hake trophic modeling

The University of Washington, in collaboration with the Northwest Fisheries Science Center (NWFSC), seeks a postdoctoral scholar in fisheries science. The postdoctoral scholar will collaborate with researchers from the NWFSC’s Fisheries Resource Analysis and Monitoring Division (FRAM) and the Conservation Biology (CB) Divisions, to develop and implement a CEATTLE (Climate-Enhanced, Age-based model with Temperature-specific Trophic Linkages and Energetics) ecosystem model for Pacific hake and krill in the California Current Ecosystem. Investigating the relationships between hake trophic interactions and population dynamics is an important research need for stock assessment and ecosystem-based management, and this postdoctoral project will contribute to a better understanding of the role of Pacific hake in the California Current Ecosystem.

The main responsibility of the postdoctoral scholar will be to quantify the relationship of hake consumption to prey availability, including specific prey items such as small hake and krill, to more accurately assess hake growth, mortality, and recruitment to inform models for stock assessment. This will be accomplished by developing a CEATTLE (Climate-Enhanced, Age-based model with Temperature-specific Trophic Linkages and Energetics) ecosystem model with newly available hake diet data. The postdoctoral scholar will also be responsible for writing one to two scientific papers documenting the hake CEATTLE model and the influence of hake cannibalism on its population dynamics. If time and funds permit, the postdoctoral scholar may increase the model complexity by adding more predator and prey species or/and integrate the results of the CEATTLE model with the models currently used for hake stock assessment and management strategy evaluation.

The anticipated start date is May 25, 2021, but this is negotiable. The initial appointment is for 1 year, with reappointment possible pending performance review and funding availability. Applications should be submitted by May 18, 2021, but the position will remain open until filled. The post-doc will be supervised by Dr. André Punt (University of Washington) and will primarily collaborate with Drs. Melissa Haltuch, Kristin Marshall, Isaac Kaplan, Elizabeth Phillips (Northwest Fisheries Science Center) and Kirstin Holsman (Alaska Fisheries Science Center).

QUALIFICATIONS: Earned Ph.D. in Fisheries Science, Quantitative Ecology, Applied Statistics or a related field; experience or training in fish population dynamics, modelling structured populations, bioenergetics, multispecies, or ecosystem models, and simulation experiments; proficiency in programming languages such as R, and/or related applications such as AD Model Builder, Template Model Builder and Stock Synthesis; ability to work in a collaborative environment.

LOCATION: Seattle, WA (telework initially)

TO APPLY: Submit your application through Interfolio ( with the following: (1) A letter of interest detailing your skills and experience. (2) A curriculum-vitae including publications. (3) Three letters of recommendation.

Spring 2021

Two water modelling roles at the NSW Department of Planning, Industry & Environment

Two water modelling roles at the NSW Department of Planning, Industry & Environment
Water Modeller
Assistant Water Modeller