Postdoctoral Scientist, Grain Quality Prediction Model Builder

Location
Bathurst/Orange, Australia
Posted
Thursday, 2 July 2020
End of advertisement period
Thursday, 30 July 2020
Ref
493321
Contract Type
Fixed Term
Hours
Full Time
  • Access to extensive industry wide dataset with potential for development of novel software solutions of value
  • Be part of research on data mining and knowledge discovery from the industry wide dataset to better understand rice grain quality
  • Be part of developing an application of cutting edge software to industry focussed problems
  • Enjoy role diversity in a supportive, friendly and flexible work environment

The Role

  • Fixed Term, Full Time (up to two years)
  • $85,177 Salary pa (plus 17% superannuation)
  • Bathurst, Orange

The Post-Doctoral Scientist will be responsible for the research and development of a software system as a data analytics tool. The software system/tool will be called the Grain Quality Prediction Model Builder (GQPM Builder). The GQPM Builder will use data from the Rice Data Trust (RDT) and build useful Grain Quality Prediction Models (GQPMs) from the data.

The purpose of this project is to develop the software tool called the GQPM Builder that will be user friendly, interactive, and accurate allowing users to choose various parameters and conditions to build data mining models such as decision forests for knowledge discovery and future prediction of various grain quality attribute values. You will need a strong understanding of IT, programming, software development and data science. You will work with a multidisciplinary team on the project and will also provide IT and data science support to a PhD student.

This position will enhance the Australian rice industrys capacity to compete in the global rice market place. This will be achieved through the application of sophisticated software to historical and current Australian rice industry data to better understand the key drivers of rice grain quality.

To be successful you will have:

  • PHD in Data Science or a related field such as Computer Science or Software Engineering
  • Strong communication and interpersonal skills
  • Capacity in construction of decision forests and predictive modelling and development of software for these tasks
  • Strong background in Python and the NumPy stack
  • Experience with relational DBMS, in particular a knowledge of PostgreSQL and MySQL
  • Strong skills in JavaScript, PHP, RESTful API design and standards compliant HTML and CSS

About Us

Charles Sturt University is a young and growing university committed to developing far-sighted people who help their communities grow and flourish. We make a significant contribution to the prosperity and vibrancy of our rural and regional communities, with a reach and impact across Australia and internationally. We work together with industry, communities and students to create new thinking, inspire each other and make a positive and progressive contribution to the world.

The Office of the Deputy Vice-Chancellor (Research, Development and Industry) encompasses the Research Office, the Office of Global Engagement and Partnerships, the Office of Indigenous Affairs, the four University Research Centres plus a number of strategic agendas including ethics and compliance, commercialisation of research, the AgriPark and contribution to the University Strategy. The DVC RDI, in collaboration with the Pro Vice-Chancellor Global Engagement (Research and Partnership), stewards the development of collaborative connections between Charles Sturt University and industry, end-users and stakeholders to strengthen and expand the research agenda. Closer strategic partnerships are sought based on the internationally competitive nature and relevance of Charles Sturt University research and the opportunity to provide Higher Degree by Research students with a more comprehensive training.

The Graham Centre for Agricultural Innovation is an alliance between Charles Sturt University (CSU) and the NSW Department of Primary Industries (NSW DPI), established in 2005 to strengthen the capacity of these organisations to undertake industry-relevant research and development.

The Centre is focused on delivering solutions for crop and livestock systems, across value chains. The 2017-2021 Strategic Plan defines our focus and intent. It aligns with the strategic plans of both the NSW Department of Primary Industries and Charles Sturt University, as well as relevant industry strategic plans and the National Science and Research priority areas of Food and Soil and Water.

Charles Sturt University offers a great work-life balance, professional development opportunities and generous financial benefits.

Charles Sturt University is an equal opportunity employer committed to diversity and inclusion. This is demonstrated through our Workplace Gender Equality Agency Employer of Choice Citation and our Athena SWAN Bronze Institutional Award. Charles Sturt is also a participating member in the Australian Workplace Equality Index. Applications are encouraged from Indigenous Australians; people with a disability; women (particularly for senior and non-traditional roles); people who identify as LGBTIQ+; and those from culturally and linguistically diverse backgrounds.

This position is open to Australian Citizens and Permanent Residents; or applicants who hold a current valid work visa commensurate with this position.

Application Requirements

Applicants are expected to apply online and address the selection criteria in the Position Description. If you experience difficulties applying online or for further information on completing the application process please visit our how to apply page or contact us.

Further Information

Associate Professor Daniel Waters | Associate Professor in Food Chemistry-Biochemistry | dawaters@csu.edu.au | Ph: 02 6933 2161

Closing Date: 11 pm, 30 July 2020

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