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SAAFE CRC Digital Twins for Risk Assessment Modeling Top-Up Scholarship

OPPORTUNITY.DETAILS OPPORTUNITY.DESCRIPTION
Enrolment status: Future UQ student, Current UQ student
Student type: Domestic, International
Study level: Postgraduate research (HDR)
Study level: Agriculture and animal sciences, Computer science and IT, Environment
Scholarship focus: Academic excellence
Funding type: Top-up
Scholarship value: $15,000 per annum
Scholarship duration: Up to 3.5 years
Number awarded: May vary
Applications open: 13 February 2025

Eligibility:

You're eligible if you meet the entry requirements for a higher degree by research.

You're eligible if you have secured a base living stipend. Alternatively, you are considering to apply for next Graduate School Scholarships (UQGSS) round or other base living stipend scholarships.

Selection criteria:

Your application will be assessed on a competitive basis.

We take into account your:

  • previous academic record
  • publication record
  • honours and awards
  • employment history

A working knowledge of machine learning, data analysis, and analytical skills would be of benefit to someone working on this project.

You will demonstrate academic achievement in the field/s of machine learning and the potential for scholastic success.

A background or knowledge of data analysis and machine learning is highly desirable.