SAAFE CRC Digital Twins for Risk Assessment Modeling Top-Up Scholarship
State University
Area
Host Country
Deadline
Study level
Opportunity type
Specialities
Opportunity funding
Full funding
Eligible Countries
This opportunity is destined for all countries
Eligible Region
All Regions
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.
This is NOT the official grant page. This is only a one-page summarized listing of the opportunities. While we endeavor to keep the information up to date and correct, information may change at any time without notice. For complete and updated information, please always refer to the official website of the scholarship provider. Any reliance you place on information from mina7portal.com is strictly at your own risk..