Postdoctoral Research Fellow in Data Science for Smart Horticulture (ARC TC-SaSH)
Richmond, New South Wales, Australia
AUD 97K-117K Mid-level Full Time
Tasks
- Build predictive and explanatory models
- Contribute to manuscripts and reports
- Create reproducible data pipelines
- Design experiments and data acquisition
- Develop and validate hybrid physics informed machine learning models
- Develop and validate mechanistic models
- Develop and validate statistical learning models
- Develop and validate stochastic models
- Develop reusable tools and model interfaces
- Integrate heterogeneous datasets
- Maintain research data management documentation
- Mentor students and junior researchers
- Present findings to scientific and industry audiences
Perks/Benefits
- Discounted private health cover
- Employee Assistance Program (EAP)
- Fitness Passport membership
- Flu vaccination
- Novated motor vehicle leasing
- Onsite childcare discounted fees
- Onsite parking salary sacrifice
- Salary packaging
Skills/Tech-stack
Data Management | Data integration | Data pipeline | Dynamic Systems | Dynamic systems modeling | Experiment design | Machine Learning | Mechanistic modeling | Physics-informed machine learning | Python | Reproducible Research | Scientific Computing | Statistical inference | Statistical modeling | Stochastic Modeling | Systems Modeling
Education
Regions
Countries
States
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