Two PhD Scholarships will be awarded to outstanding candidates to undertake research on predictive maintenance and big data management. This project provides a unique opportunity to use real-world data from a global manufacturing company.
These prestigious scholarships, established by La Trobe University in partnership with the Incitec Pivot Ltd (IPL), will be awarded to applicants who are interested in big data predictive analytics.
The expected outcome of the research is to develop techniques to predict remaining useful life of a complex manufacturing plant in the online and rapidly changing environments. The PhD candidates will have the opportunity to be supervised by both subject matter experts from the industry as well as leading researchers from the Department of Computer Science and Information Technology at La Trobe University.
Applicants should have a high level achievement, normally a first class honours degree or equivalent such as a good Masters degree or a degree with extensive research experiences in industry. Candidates with some experiences in the areas of data science, database management, data mining, machine learning, or engineering background in plant fault analysis and modelling, are encouraged to apply.
Benefits of the scholarship
§ A La Trobe Research Scholarship for three years (with a possible extension for up to 6-months), with a value of $26,288 per annum, to support your living costs.
§ A fee-relief scholarship (LTUFFRS) for four years to undertake a PhD at La Trobe University (applicable to international applicants).
§ Opportunities to work with La Trobe’s leading researchers, and have access to our suite of professional development programs.
If you require further information, please contact:
Prof Wenny Rahayu (Head of Engineering & Math Sciences)
Prof Tharam Dillon (Adjunct Professor)
La Trobe University
Phone: +61 3 9479 1282
How to apply
If you wish to apply for these Industry PhD Scholarships, you can follow these steps:
§ Expression of Interest Application: send your resume, transcripts, certificates and relevant publications (if any) in one PDF file to the following email: W.Rahayu@latrobe.edu.au
§ If your expression of interest is successful, you will be invited to apply, details on how to apply for candidature available at:
§ Complete and submit your application to the La Trobe Graduate Research School (firstname.lastname@example.org) by 31 October 2016 for admission into La Trobe’s PhD program, indicating you wish to be considered for an IPL-LTU Industry PhD Scholarship.
The University will carefully review your application and you will be advised of an outcome in December 2016.
Complete applications to La Trobe Graduate Research School close 31 October 2016.
About La Trobe University
La Trobe University has been rated in the 300-350 band of the prestigious academic ranking of world universities (ARWU). The Computer Science and Information Technology department at La Trobe has 25 full-time academics/researchers and more than 70 PhD students working on cutting-edge computer science research problems. The department has strong research expertise in data science, mining and artificial intelligence and strong collaborations with Australian IT industries.
Application Deadline : 31 October 2016
Posted on 2016-10-19 11:42:06
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Deadline : 15 October 2017
Deadline : 31 October 2017