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University of Auckland Marsden Grant PhD Scholarship in Machine Learning/Data Mining
Scholarship details
| Study levels | Postgraduate |
|---|---|
| Value | $27,500 pa plus compulsory domestic fees of up to $7,500 pa |
| Length | Up to 36 months |
| Enrolment status | Full-time |
About the scholarship
This Scholarship was established in 2018 and is funded by the Royal Society Marsden Fund awarded to an academic staff member from Department of Electrical and Computer Engineering in the Faculty of Engineering at the University of Auckland.
The main purpose of the Scholarship is to support a PhD student at the University of Auckland who is undertaking research in novel techniques of anomaly detection from big data.
How To Apply
You do not need to apply for this scholarship, award or prize or complete an online application form. It is awarded on the recommendation of the relevant faculty or University of Auckland committee.
For more information about the awarding process for this scholarship, award or prize, download a copy of the regulations.
Entry requirements
'-The Scholarship may be awarded only to students applying for admission to a PhD in the Faculty of Engineering at he University of Auckland who meet all the requirements of these regulations. -The Scholarship is tenable by full-time domestic and international students who are eligible to pay domestic fees (see Note IV). -The basis of selection will be academic merit and the quality and nature of the research proposal. Matters that may be considered in relation to academic merit include, but are not limited to, academic record, standing of awarding institution, academic references, CV and research and publication record. Where a qualifying programme with a grade point average (GPA) or grade point equivalent (GPE) is the basis for entry to the PhD, a candidate must have a GPA/GPE of at least 7.00 (6.50 for Māori or Pacific candidates) in that programme to be eligible for scholarship consideration. Where a qualifying programme is entirely pass/fail, the University may generate a GPA only where the programme consists entirely of a thesis (see Note V).