This is to bring to your notice that the application window for the Fully-funded PhD Studentship Positions in Statistics at La Trobe University, Australia 22022-23, is now open for interested and qualified applicants.
Important Points about the Fully-funded PhD Studentship Positions in Statistics at La Trobe University, Australia 22022-23
Listed below are the summarized points you need to note about the Fully-funded PhD Studentship Positions in Statistics at La Trobe University, Australia 22022-23:
- Funding is full
- They take Statistics, Stochastics, Spatial Data Analysis courses at La Trobe University
- International students are eligible
- All PhD students are eligible
Brief Description of the Fully-funded PhD Studentship Positions in Statistics at La Trobe University, Australia 22022-23
The program’s goal is to solve major issues in stochastic process theory and statistics, as well as to build a novel approach for their application.
The goal of this research is to produce new understanding about processes on multidimensional spaces and surfaces, which are employed in spatio-temporal data modeling.
Application Deadline for the Fully-funded PhD Studentship Positions in Statistics at La Trobe University, Australia 22022-23
Application deadline is open.
Eligible Courses for the Fully-funded PhD Studentship Positions in Statistics at La Trobe University, Australia 22022-23
The Fully-funded PhD Studentship Positions in Statistics at La Trobe University, Australia 22022-23 is a scheme that looks to reward high-achieving internationals, and it is only available for the course below:
- Statistics
- Stochastics
- Spatial Data Analysis,
Eligible Countries for the Fully-funded PhD Studentship Positions in Statistics at La Trobe University, Australia 22022-23
Students from the following nationalities are eligible:
- All countries
Scholarship Award Benefit for the Fully-funded PhD Studentship Positions in Statistics at La Trobe University, Australia 22022-23
All of the following will be provided by the university:
- Each selected scholar will be awarded a fully financed scholarship to continue their degree at La Trobe University in Australia.
Degree Type of the Fully-funded PhD Studentship Positions in Statistics at La Trobe University, Australia 22022-23
The Fully-funded PhD Studentship Positions in Statistics at La Trobe University, Australia 22022-23, is primarily for PhD programs.
Number of Awards for the Fully-funded PhD Studentship Positions in Statistics at La Trobe University, Australia 22022-23
Not specified
Eligibility Criteria for the Fully-funded PhD Studentship Positions in Statistics at La Trobe University, Australia 22022-23
All applicants must meet the following criteria to be considered for the Fully-funded PhD Studentship Positions in Statistics at La Trobe University, Australia 22022-23:
- Applicants should have a background in probability, statistics, or an area that is closely related.
Application Procedure for the Fully-funded PhD Studentship Positions in Statistics at La Trobe University, Australia 22022-23
To apply, all arranged and organized steps have been highlighted below for the Fully-funded PhD Studentship Positions in Statistics at La Trobe University, Australia 22022-23:
- Candidates must enroll in a research degree at the institution to be eligible for this educational grant. Please email A/Prof Andriy Olenko (Olenko@latrobe.edu.au) if you are interested in applying or for additional information.
- Papers to Support Your Application: Students must provide the following documents to the university:
- Academic transcripts and completion certificates from universities (originals or certified copies)
- Professional Curriculum Vitae (resume)
- Citizenship certificate or birth certificate (original or certified copy, for domestic applicants only)
- Evidence of your English language competence in the form of a document (optional)
- A valid passport and an Australian visa are required.
- Admission Criteria: Students must fulfill the Doctor of Philosophy’s entry requirements.
- Language Requirement: Students should review the university’s English language requirements and present proof of competency as needed.
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