The University of Queensland
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Research project scholarship
PhD Scholarship in Data Science, Ecology, and Environmental Risk Assessment The University of Queensland in Australia
Degree Level
PhD
Field of study
Computer Science
Funding
Research project scholarship with a living stipend of $45,000 per annum, a $21,000 professional development fund, and tuition fees covered.
Country
Australia
University
The University of Queensland
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About this position
PhD Scholarship opportunity in Data Science + Ecology with the SAAFE CRC, The University of Queensland, and the Environmental Protection Agency Victoria.
The project focuses on quantifying ecological risks from flood-borne contaminants in nonurban landscapes, using chemical, microbial, hydrological, and land-use data from the 2022 Victorian floods. It is a strong fit for students interested in data-driven research, statistical analysis, quantitative modelling, ecological risk assessment, and environmental science.
The successful candidate will work at UQ's St Lucia campus in a multidisciplinary team and collaborate with EPA Victoria and Northern Arizona University. The advisory team includes Principal Supervisor Associate Professor Sudhir Yadav, with associate supervisors Dr Minna Saaristo, Dr Phoebe Lewis, and Professor Catherine Propper.
This is a funded PhD scholarship: it offers a $45,000 per annum stipend, a $21,000 professional development fund, and tuition fees covered. The project also includes the possibility of spending up to 12 weeks at EPA Victoria as part of professional development.
Eligibility highlights: applicants must have completed Honours or Masters level research and must be able to enrol as a domestic student at The University of Queensland. The post asks for evidence of English language proficiency (e.g. TOEFL or IELTS) and requests a cover letter, CV, and academic transcripts.
Location: St Lucia, Brisbane, Queensland, Australia.
Funding details
Research project scholarship with a living stipend of $45,000 per annum, a $21,000 professional development fund, and tuition fees covered.
What's required
Applicants must have completed Honours or Masters level research and be eligible to enrol as a domestic student at The University of Queensland. The role suits candidates with a strong interest in data-driven research, quantitative modelling, statistical analysis, data integration, and working with large, complex, quality-assured datasets. Evidence of English language proficiency is required (e.g. TOEFL or IELTS).
How to apply
Prepare a cover letter, CV, academic transcript/s, and evidence of English language proficiency, then submit them through the application process on the job posting. Follow the employer's application questions and ensure you meet domestic student eligibility for UQ.
More information can be found here
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