RMIT University PhD Scholarship in Robotic Intelligence for Construction Waste Sorting, Australia 2022-23

  • Partial Funding
  • RMIT University Australia
  • PhD
  • Robotics, Engineering
  • International Students
  • Australia
Open
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Scholarship Description:

RMIT University PhD Scholarship in Robotic Intelligence for Construction Waste Sorting, Australia 2022-23 is open for International Students . The scholarship allows PhD level programm(s) in the field of Robotics, Engineering taught at RMIT University Australia . The deadline of the scholarship is Open.

Degree Level:

RMIT University PhD Scholarship in Robotic Intelligence for Construction Waste Sorting, 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.

  • Robotics
  • Engineering

Scholarship Benefits:

RMIT University will provide the award amount of $31,885 per annum for three years with the possibility of a six-month extension.

Eligible Nationalities:

All Nationalities

Eligibility Criteria:

To be eligible for this scholarship you must: have a Master by Research degree or a Master by Coursework degree with a significant research component graded as high distinction or equivalent or an Honours degree achieving first-class Honours in civil/mechanical/manufacturing engineering or another suitable field. Preferred applicants: Australian citizens, Australian permanent residents or on-shore international applicants.

Application Procedure:

To apply, please submit the following documents to Professor Sujeeva Setunge at [email protected] and Professor Kevin Zhang at [email protected].

Expressions of interest should contain the following information:

  • A one-page cover letter briefly outlining your interest in the project
  • Evidence of research ability: a digital copy of a Masters or Honours thesis; and a digital copy of academic transcripts
  • A CV including any publications, awards, and relevant professional experience.
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