RMIT University PhD Scholarship in Designs for Response Surface Methodology with Multiple Responses, Australia 2022-23

  • Partial Funding
  • RMIT University Australia
  • PhD
  • Statistics, Mathematical Sciences Experimental Designs
  • Domestic Students, International Students
  • Australia
  • 02/06/2022
Expires in
13 Days
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Scholarship Description:

RMIT University PhD Scholarship in Designs for Response Surface Methodology with Multiple Responses, Australia 2022-23 is open for Domestic Students, International Students . The scholarship allows PhD level programm(s) in the field of Statistics, Mathematical Sciences Experimental Designs taught at RMIT University Australia . The deadline of the scholarship is 06 Feb 2022.

Degree Level:

RMIT University PhD Scholarship in Designs for Response Surface Methodology with Multiple Responses, Australia 2022-23 is available to undertake PhD level programs at RMIT University Australia.

Available Subjects:

Following subject are available to study under this scholarship program.

  • Statistics
  • Mathematical Sciences

Scholarship Benefits:

Winning candidates will be provided an AUD 33,000 per year scholarship for up to 3 years of Ph.D. study at RMIT.

Eligible Nationalities:

All Nationalities

Eligibility Criteria:

  • International (currently in Australia) and Domestic applicants are eligible
  • Eligible applicants must fulfill all the following 3 requirements:
    • Have a Master of Science or Engineering with a research component (thesis).
    • Have a Bachelor (Hons) of Science or Engineering.
    • Have excellent knowledge of programming in R.

Application Procedure:

Applications should be submitted by email to A/Prof Stelios Georgiou within a single email titled “Scholarship Application in Designs for Response Surface Methodology with Multiple Responses”.

In this email the applicant needs to attach:

  1. A cover letter describing how the applicant’s skills and research experience address the selection criteria.
  2. A current CV, academic transcripts, and a list of publications (if applicable).
  3. At least one reference letter.

Candidates will be notified of the outcome to the nominated email.

Selection criteria
  • Degrees in Science or Engineering or equivalent (honors and MSc).
  • An interest in the design of experiments and statistics.
  • Knowledge in using the R software in designing experiments.
  • Ability to work both independently and in a team.

Incomplete applications will not be considered.

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