RMIT University 2022 PhD Scholarship in Designs for Response Surface Methodology with Multiple Responses (Deadline :February 6, 2022)

RMIT University 2022 PhD Scholarship in Designs for Response Surface Methodology with Multiple Responses (Deadline :February 6, 2022)

Candidates should have an excellent mathematical and statistical background with advanced R programming skills. The project is to generate the needed new design matrices for response surfaces and investigate possible applications.

About RMIT University

RMIT University (officially Royal Melbourne Institute of Technology, informally RMIT) is an Australian public research university based in Melbourne, Victoria. Founded in 1887 as the Working Men’s College of Melbourne by Francis Ormond, it initially opened as a private night school offering instruction in art, science and technology in response to the industrial revolution in Australia. It was made a public university by act of the Parliament of Victoria in 1992 after merging with the Phillip Institute of Technology. A dual sector institute, its enrolment of 320 trades students in 1887

Aim and Benefits of RMIT University PhD Scholarship

• Scholarship for 3 years ($33,000 AUD per year)

Requirements for RMIT University PhD Scholarship Qualification

• International (currently in Australia) and Domestic applicants are eligible
• Eligible applicants must fulfil 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 an excellent knowledge of programming in R.

How to Apply

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 outcome to nominated email.

Selection criteria

• Degrees in Science or Engineering or equivalent (honours and MSc).
• An interest in 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.