CSIRO Data61 International PhD Scholarship in Deep Neural Networks Reliability Analytics, Australia

  •  PhD
  •  29-Jun-2020
  •   Australia
  • $$  Living stipend scholarship

The University of Queensland eagerly awaits applications from outstanding students for its CSIRO Data61 PhD Scholarship in Deep Neural Networks Reliability Analytics in Australia.

The funding programme supports both domestic and international students who want to undertake a higher degree by research programme for the academic year 2020-2021.

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The University of Queensland Information

The University of Queensland Grants

CSIRO Data61 International PhD Scholarship in Deep Neural Networks Reliability Analytics, Australia Founded in 1909, The University of Queensland is a non-profit public higher education institution located in the urban setting of the medium-sized town of St Lucia (population range of 10,000-49,999 inhabitants), Queensland. This institution has also branch campuses in the following location(s): Herston, Gatton. Officially accredited and/or recognized by the Department of Education and Training, Australia, The University of Queensland (UQ) is a very large (uniRank enrollment range: over-45,000 students) coeducational higher education institution. The University of Queensland (UQ) offers courses and programs leading to officially recognized higher education degrees such as pre-bachelor degrees (i.e. certificates, diplomas, associate or foundation degrees), bachelor degrees, master degrees, doctorate degrees in several areas of study. See the uniRank degree levels and areas of study matrix below for further details. This 109 years old higher-education institution has a selective admission policy based on students' past academic record and grades. International students are welcome to apply for enrollment.

Eligibility Criteria

  • Eligible Countries: All nationalities.
  • Acceptable Course or Subjects: PhD degree in Deep Neural Networks Reliability Analytics
  • Admissible Criteria: To be eligible, applicants must meet the following criteria:
  • Master of Philosophy (or another research master’s degree).
  • Bachelor’s degree from an approved university with at least honours class IIA or equivalent.
  • Coursework master’s degree with an overall grade point average of 5.65 on the 7-point UQ scale.
  • Postgraduate degree (at least one year full-time or equivalent) with an overall grade point average of 5 on the 7-point UQ scale, together with research experience. We will consider these applications on a case-by-case basis.
  • Bachelor’s degree plus at least 2 years of research experience, including research publications.
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Offered Benefits

This program is provided by the CSIRO/Data61 for three years (with a possible six months extension) for a PhD. After the EOI stage, the student will work with UQ and Data61 researchers towards the application of a UQ RTP and CSIRO’s Data61 PhD scholarship/top-up, subject to eligibility criteria and an evaluation by an independent assessment committee.

Application Process

  • How to Apply: To be considered for this application, please email the following documents (in PDF) to Professor Ryan Ko (r.ko-at-uq.edu.au) with the subject heading: UQ-Data61 CRP Project Deep Neural Networks Reliability Analytics
  • Supporting Documents: Candidates must submit a cover letter, CV, academic transcript/s, and names of two referees who can comment on your ability to undertake in-depth research. Referee reports are carefully assessed with your application.
  • Admission Requirements: For taking admission, candidates must check the entry requirements of the program.
  • Language Requirement: If English is not your first language, you should provide evidence of English language ability: IELTS, TOEFL, or other acceptable proof. Please see the English Language Requirements section for more details.
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