Postdoctoral Fellowship - Software Development, Quantfying Uncertainty in Agriculture


Posted on: Wed Dec 21 2016

As a Postdoctoral Fellow you will will be integral in the development of an “uncertainty toolbox” for quantifying, visualising and communicating uncertainty for improved decision making in complex agricultural systems..The development of the “Digiscape Uncertainty Toolbox” is driven by the need to better quantify predictions and forecasts of agricultural systems in space and time given a range of very large and complex datasets (remote sensing, sensor network data, farm production data, meteorological data) and under a range of modelling paradigms (e.g. deterministic/stochastic, multivariate/univariate).

Specifically you will:

  • Carry out innovative, impactful research of strategic importance to CSIRO that will, where possible, lead to novel and important scientific outcomes.
  • Work with CSIRO scientists within the project team and across the Digiscape FSP to develop relevant software components for the uncertainty toolbox. This will involve:
    • Development of fast and efficient algorithms for statistical/machine learning/data mining approaches that can work on high performance computers so that methods can work with large volumes of data and computationally demanding scientific models.
    • Create static and dynamic visualisations of scientific data, model output and uncertainties quantified from the models.
    • Assist in the development of front end Graphic User Interfaces (GUIs) to the uncertainty toolbox to facilitate ease of use of the software by end users.
  • Produce high quality scientific and/or engineering papers suitable for publication in quality journals, for client reports and granting of patents.
  • Contribute to commercialisation efforts.
  • 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.

To be considered you will need:

  • A PhD in Computer Science, Statistics/Mathematics or Machine Learning with a computing major.
  • A strong background in the development of statistical, machine learning and/or datamining theory and algorithms for solving important large and complex problems.
  • Demonstrated conceptual and practical knowledge and skills operating with large datasets, particularly focussed on developing fast and efficient algorithms that can potentially be parallelised on high performance computing environments and served on the web using at least one of the following: Java, Python, C/C++ or R.
  • High levels of oral and written communication and ability to represent the team at national and international conferences
  • The ability to work effectively as part of a multi—disciplinary, regionally dispersed research team and the motivation to carry out tasks autonomously.
  • A record of science innovation and creativity and a willingness to contribute novel ideas and approaches to support scientific investigations.

For more information and to apply, click here.

**Mention you saw it on the AustMS website**