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 in horticultural enterprises. By creating advanced models and data pipelines, you will play a crucial role in improving crop performance in high-tech growth facilities. The team values collaboration, innovation, and a commitment to excellence, creating an environment where everyone can thrive.
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.🛠️
Translating research outcomes
Translating research outcomes into reusable tools such as reproducible pipelines, code repositories, and dashboards.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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