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Postdoctoral Fellowship in Applied Machine Learning for Sensor Data Analytics in Aquaculture

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  • Do you want to make a difference?
  • Carry out innovative research deploying sensors in aquaculture ponds.
  • Join CSIRO’s Future Science Platform Data61 team and make an impact.

 

As an early career researcher in this Postdoctoral Fellowship position you will carry out innovative, impactful research that will lead to novel and important scientific outcomes.

 

Specifically you will:

  • Plan, manage, and evaluate field experimentation. This includes deploying sensors within research and commercial aquaculture ponds, data collection and analysis.
  • Development and implementation of machine learning algorithms based on sensor data streams
  • Incorporation of machine learning algorithms into decision support tools to drive improvements in aquaculture pond management.  
  • Undertake regular reviews of relevant sensor technology, literature and patents.
  • Produce high quality scientific papers suitable for publication in quality journals, for client reports and granting of patents.
  • Prepare appropriate conference papers and present those at conferences as agreed with your supervisor.
  • Contribute to the development of innovative concepts and ideas for further research.
  • Make a contribution to the effective functioning of the research team and help deliver CSIRO’s organisational objectives and plans.
  • Work collaboratively with colleagues in the Bribie Island aquaculture team (Queensland), Data61 (Tasmania) and wider CSIRO.

 

Location: Brisbane, Queensland, Australia

Salary: $78k to $88k plus up to 15.4% super

Reference: 29505

Term: 3 years

 

To be considered you will need:

  • A doctorate (or will shortly satisfy the requirements of a PhD) in a relevant discipline area, such machine learning, data mining, sensor data analytics
  • A sound understanding of machine learning algorithms, signal processing, time series data analytics and forecasting methods.
  • Experience working with sensor data analytics and development of software prototypes.
  • Demonstrated ability to develop software tools in one or more of MATLAB, C++, Python, or Java.
  • Demonstrated ability to plan, manage, and evaluate field experimentation.
  • The ability to work effectively as part of a multi-disciplinary, regionally dispersed research team, plus the motivation and discipline to carry out autonomous research.
  • A record of science innovation and creativity, plus the ability and willingness to incorporate novel ideas and approaches into scientific investigations.

Desirable 

  • Basic knowledge of key water quality parameters within open pond aquaculture systems such as prawns / shrimp.
  • Experience with the deployment and maintenance of sensors in an agriculture production setting.
  • Experience developing decision support systems driven by analytics.

 

About CSIRO

At the Commonwealth Scientific and Industrial Research Organisation we do the extraordinary every day. We innovate for tomorrow and help improve today – for our customers, all Australians and the world.

We imagine. We collaborate. We innovate.

Find out more www.csiro.au

 

About the Future Science Platforms and Digispace

Future Science Platforms (FSPs) are a major new CSIRO initiative and are multi-year investments in frontier science that will help reinvent and create new industries for Australia. In the future Australia's agriculture.

Digiscape is the FSP that is creating next-generation decision tools to transform the agriculture and land management sector. To achieve this aim, Digiscape will bring to bear cutting edge climate science; new sources of locally and remotely sensed data; informatics for agro-ecosystems; rigorous analysis of uncertainties; and innovation in both the ICT and social dimensions of systems integration.

 

About Australia

Australia is a stable, democratic and culturally diverse nation with a highly skilled workforce and one of the strongest performing economies in the world. With a spectacular natural environment, high quality of life and great diversity Australia is a sought after destination. Find out more About Australia.

 

Find out more! Read this Position Details form

 

To apply, please click the apply button.

Applications Close: Open until filled, however we encourage you to submit your application by January 9, 2017 as we will interview suitable candidates from that date onwards.

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