Postdoctoral Research Fellow in Data Science for Smart Horticulture (ARC TC-SaSH)
About the job
This job is about conducting impactful data science and modelling research to enhance productivity and profitability in horticultural enterprises. By integrating various research and training programs, you will play a crucial role in supporting crop performance in advanced growth facilities. The team thrives on collaboration, innovation, and a commitment to excellence.
You'll be responsible for
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Creating data pipelines
Creating reproducible data pipelines and models that improve forecasting in controlled environments.🔬
Conducting research
Conducting data science and modelling research within the Industrial Training Centre for Smart and Sustainable Horticulture (SaSH).🛠️
Translating research outcomes
Translating research outcomes into reusable tools such as reproducible pipelines, code repositories, dashboards, and model interfaces.Key criteria
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PhD or equivalent qualifications
Possession of a PhD in a relevant quantitative discipline.View
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Advanced data science experience
Demonstrated experience in statistical modelling of complex datasets.View
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Dynamic systems modelling expertise
Proven expertise in mechanistic and/or stochastic modelling approaches.View
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