14 June 2017
INT – 0320
Deep Learning in Customer Behaviour
Location: Adelaide, SA
Duration: 4 months
Open to PhD students who possess programming skills including Java, R, and Python. They will possess great data modelling skills and will have worked with very large datasets. It would be desirable for the candidate to have worked with applications like SAS or Qlikview in the past.
Telstra has 16 million customers who use a variety of services provided by Telstra. While providing services to our customers, Telstra collects large amounts of data which relates to the services provided and experience received while using the service. These events of information are collected and stored in a database within the Big Data environment with an aim of using this information to identify patterns of customer behaviour and improve the services provided to the customer.
Research to be conducted
As part of the research and development in the area of deep learning, the project will include:
- Developing data models for understanding customer events and their association with each other.
- Building visualizations that can be used as a start point hypothesis.
- Monitoring and optimization of data flowing through HDFS, MPP database and In-memory visualization tools.
The intern will receive $3,000 per month of the internship, usually in the form of stipend payments.
It is expected that the intern will primarily undertake this research project during regular business hours, spending at least 80% of their time on-site with the industry partner. The intern will be expected to maintain contact with their academic mentor throughout the internship either through face-to-face or phone meetings as appropriate.
The intern and their academic mentor will have the opportunity to negotiate the project’s scope, milestones and timeline during the project planning stage.
To participate in the AMSI Intern program, all applicants must satisfy the following criteria:
- Be a PhD student currently enrolled at an AMSI member institution.
- PhD candidature must be confirmed.
- Applicants must have the written approval of their Principal Supervisor to undertake the internship. This approval must be submitted at the time of application.
- Internships are also subject to any requirements stipulated by the student’s and the academic mentor’s university.