Date: 21-Oct-2021

Location: Brisbane, QLD, AU Canberra, ACT, AU

Company: CSIRO

The Opportunity

• Do you have a PhD in a relevant discipline area, such as computer science, geography, economics, environment, agricultural science or social science or similar?
   
• Exciting opportunity to develop new socio-agro-ecological models of adaptive management strategies
   
• Join CSIRO – Australia’s leading scientific research organisation!

CSIRO Early Research Career (CERC) Postdoctoral Fellowships provide opportunities to scientists and engineers who have completed their doctorate and have less than three years of relevant postdoctoral work experience. These fellowships aim to develop the next generation of future leaders of the innovation system. 
 

The CSIRO Data61 and Agriculture and Food business units are recently established a new 3-year shared strategy project to develop digital/data transformation for agriculture. As a member of this multidisciplinary team, you will work with CSIRO scientists, engineers and collaborate with national and international university partners to develop new socio-agro-ecological models of adaptive management strategies that have general applicability for decision making in agricultural landscape management. 
 

The CERC Fellow will work closely with leading scientists in the Agriculture and Food and Data61 machine learning and data analytics business unit, developing computer simulation models for multiple actor landscape management. Your research will focus on developing a modelling framework that will allow for the integration of existing representations of human decision-making that are based on social science theories about land management behaviour in Australia, with real-time updates and system-learning based on observed behaviours.  The successful candidate will work within national and international settings and as part of a diverse multidisciplinary team.

In this role you will:

• Develop a computer simulation model using agent-based modelling approaches to explore multi-actor land management behaviours and the optimization of outcomes for both agricultural production and environmental protection.
• Implement the general model in specific contexts to provide adaptive management solutions based on future trajectories, through the integration of localized decision-making and observed behaviours.
• Publish results in relevant international scientific venues (high-level journals and conferences).
• Evaluate the developed model to demonstrate its fitness for purpose, taking responsibility for functionality, performance, and robustness.
  Interpret and present research findings to scientists and practitioners from a wide range of other scientific areas.

Location:   Brisbane, QLD or Canberra, ACT
Salary:       AU$89k – AU$98k plus up to 15.4% superannuation

Tenure:      Specified term of 3 years
Reference:  77807

About You

We’re interested in hearing from people who can demonstrate the following:

• A doctorate (or will shortly satisfy the requirements of a PhD) in a relevant discipline area such as computer science, geography, economics, environment, agricultural science or social science. 
• Please note: To be eligible for this role you must have no more than 3 years (or full-time equivalent) of postdoctoral research experience.
• The ability to work effectively as part of a multidisciplinary, regionally dispersed research team, plus the motivation and discipline to carry out independent research.
• Knowledge of agent-based simulation modelling methods and tools such as NetLogo, Repast or GAMA, or the ability to program with object-oriented languages such as Java or C++. 
• Solid knowledge of theories on human decision-making and socio-agro-ecological systems.   
• A history of publication in peer-reviewed journals and/or authorship of scientific papers, reports, grant applications or patents.
• High-level written and oral communication skills with the ability to represent the research team effectively internally and externally, including the presentation of research outcomes at national and international conferences. 

If you meet the majority of these requirements, please consider applying.

For full details about this role please view the Position Description
 

Eligibility

To be eligible you must be an Australian/New Zealand Citizen, Australian Permanent Resident or Australian temporary resident currently residing in Australia (visa sponsorship may be provided to eligible onshore candidates).
The successful applicant will be required to obtain and provide a National Police Check or equivalent. Additional integrity checks may be required for specific roles which require security clearance for working with children, Australian Government cybersecurity requirements or other identified security roles.

Flexible Working Arrangements

We work flexibly at CSIRO, offering a range of options for how, when and where you work. 

Diversity and Inclusion

We are working hard to recruit diverse people across por society and ensure that all our people feel supported to do their best work and feel empowered to let their ideas flourish. 

About CSIRO

At CSIRO Australia’s national science agency, we solve the greatest challenges through innovative science and technology.  We put the safety and wellbeing of our people above all else and earn trust everywhere because we only deal in facts. We collaborate widely and generously and deliver solutions with real impact. 

Join us and start creating tomorrow today!

How to Apply

https://jobs.csiro.au/job/Brisbane%2C-QLD-Postdoctoral-Fellowship/804239100/?locale=en_GB
Please apply on-line and provide a cover letter and CV that best demonstrate your motivation and ability to meet the requirements of this role.

Applications Close

21 November 2021, 11:00pm AEST

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. 

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

The Marine Science Institute at the University of California Santa Barbara seeks a highly-motivated postdoctoral research associate. The position will focus on quantitative modeling of kelp forest dynamics to inform kelp restoration in the state of California.

The postdoctoral research associate will be based in Santa Barbara, California but remote work is possible while COVID-related shutdowns remain in place. The position will work on a recently funded project that seeks to inform kelp restoration across the state of California. Utilizing extensive data (kelp forest surveys, oceanographic and benthic habitat) available from diverse sources across the state, the Postdoc will build statistical models to identify key ecological, oceanographic and management drivers of kelp (Macrocystis pyrifera and Nereocystis leutkeana) persistence or recovery at the scales of the entire state. Modeling will include but not be limited to generalized linear models, generalized additive models, and may include Bayesian approaches or machine learning. The candidate will also have experience with species distribution modeling. The region-specific, species-specific results from the modeling will serve to highlight places, times and techniques that stand the best chance of success for kelp restoration in California. The Postdoc will lead the development of a written and graphical restoration guide for use by managers, restoration practitioners, and funders. A background in coastal marine ecology is beneficial but not necessary.

Basic Qualifications: Applicants must have completed all requirements for a PhD (or equivalent) except the dissertation in ecology, marine biology, applied statistics, ecological modeling, or closely related discipline at time of application.

Additional Qualifications: PhD (or equivalent) in ecology, marine biology, applied statistics, ecological modeling, or closely related discipline by the time of appointment.

Preferred Qualifications: Ideal candidates will have advanced skills in data analysis, statistics, scientific coding/programming, and other quantitative methods. Experience with statistical analysis of spatial and temporal data (e.g. generalized linear models, generalized additive models, Bayesian approaches, machine learning), and species distribution modeling. Coding experience in R or equivalent programming language. Familiarity with spatial or geographic analyses. Demonstrated strong writing skills are required. Excellent verbal and written communication skills. A track record of talks and peer-reviewed publications appropriate to career stage. Familiarity with code repositories such as Github. Strong interpersonal skills to build and maintain strong relationships with academic, NGO and government partners, and to work effectively as part of a highly collaborative research team.

The position start date is as soon as possible. This is a two year position. Start date is flexible and ideally no later than August 30, 2021. Salary is competitive, commensurate with the applicant’s qualifications. Postdoctoral benefits are included (https://clients.garnett-powers.com/pd/uc/plans_benefits).

Applicants should submit a CV, a short (1-2 page) statement of research experience and interests related to the project, PDF copies of up to two relevant publications (optional) preferably those that demonstrate statistical modelling examples, and the names, affiliations, and email addresses of three references to:

https://recruit.ap.ucsb.edu/JPF01963

For primary consideration apply by April 30, 2021

Position will remain open until filled.

The University is especially interested in candidates who can contribute to the diversity and excellence of the academic community through research, teaching and service as appropriate to this position.

The University of California is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.