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<<First Name>>  this special bulletin outlines two opportunities for students, along with last minute workshops.
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News

The LPDP (Indonesia Endowment Fund for Education) will reward Indonesian researchers or research groups for publishing articles/papers in international journals. 

This incentive scheme was published in December 2015 and is driven by an interest in supporting Indonesian researchers to improve their research quality and their writing. 

This is also an opportunity for current Indonesian students (and their supervisors) conducting research at RMIT to be aware of this scheme. 

There are two application periods in a year.

Application Period

Evaluation Period

Awardees/Winners Announcement

February 27th – May 9th

May 10th – May 19th

May 20th

May 21st – July 30th

July 31st – August 9th

August 17th​

Further detail can be found in this link http://www.lpdp.kemenkeu.go.id/en/research-funding/international-scientific-publication-reward/

HDR Bulletin



Internship Project with ANZ

 

Data Analytics

Project Background 

 

ANZ operate in 34 markets globally with representation in Australia, New Zealand, Asia, Pacific, Europe, America and the Middle East. ANZ is among the top 4 banks in Australia, the largest banking group in New Zealand and Pacific, and among the top 50 banks in the world.

 

ANZ’s Advanced Analytics team is accountable for contributing to the development and delivery of analytical insights which result in business action that has a positive impact to ANZ’s financial standing, customer satisfaction levels and/or competitive advantage. The Advanced Analytics team is tasked with balancing business insight, acumen and analytics to develop insights that informs business thinking and develops intellectual property to move the business forward. 

 

The Advanced Analytics team requires an intern to analyse and present data in a manner that tells compelling stories that stimulate behaviour change from key decision makers within ANZ. Research will include, but is not limited to:

  • Strategic and Tactical Analytics
  • Marketing Analytics
  • Regression Modelling
  • Business Analytics
  • Segmentation
  • Customer Behaviour Analytics
  • Experimental Design
  • Trigger Design and Development
  • Undertaking both proactive and reactive analysis across large sets of financial, customer and economic data and present back to the business new and highly valuable insights
  • Adherence to ‘Best-in-Class’ process, procedure and governance

Research to be conducted 

 

This position is suited for current students studying business analytics, data science, mathematics, economics and/or computer science.

 

Based on skills, students will be assigned to complete selected Advanced Analytics project based work items to acquire hands on experience building our customer analytic model assets.

 

Examples of the research projects to be undertaken, using SAS/R and multiple databases include:

  • Building predictive models to improve marketing sales offerings and return on investments, such as;
    • The use of statistical modelling techniques to identify customers with a high propensity to respond to a personal loans campaigns using customer demographics and current credit card behaviour (utilisation, spend categories etc)
    • Use of refinance and Home Loan data to identify customers with a propensity to refinance a Home Loan elsewhere with the aim to improve customer relations and retain customers
  • Undertaking business analytics with multiple databases to improve business outcomes & customer experience such as;
    • Use of customer proofing and segmentation methodologies for tracking and analysis of web pages visited or timely offers to existing customers and/or sizing opportunity through analysis of relevant offers, incentives and lead time requirements.
    • Use of SAS/R and multiple data tables for analysis of high usage customers to identify causation, process change requirements and alternative channel solutions e.g. SMS alerts and/or quantity impact of channel migration strategies.
  • Interns will be partnered with a senior ANZ Analytics team member who will provide line management, sponsorship, coaching and domain expertise.

 

This is an opportunity to put to practice your analytics skills alongside experienced data scientists in a global institution. The intern will gain experience in:

  • Developing advanced and complex predictive models using software tools.
  • Ability to interpret and evaluate the outcomes
  • Work with large and diverse data sets in building, validating and using predictive tools
  • Increase knowledge of financial institution data, strategy & products
  • Use of tools and techniques to enable provision of analytics to support business cases, hypotheses and opportunity analysis

Additional Details  

 

This project is for six months with the opportunity to lead to ongoing employment. You will receive $3,000 per month of the internship in the form of stipend payments (subject to university policy). You will also receive accelerated training focused on key development needs.

 

The successful candidate will be requested to start in March 2016.

 

It is expected that you will primarily work on this project during regular working hours, spending at least 80% of your time working on the project on-site with the industry partner. You will be expected to maintain contact with your academic mentor throughout the internship either through face-to-face or phone meetings as needed.

What we are looking for

 

The successful candidate will have:

  • Exposure within data analytics
  • Have a general understanding of financial institutions and financial models
  • Experience working with large data sets, statistical techniques and analysis such as data mining, regression, clustering and segmentation
  • Knowledge of working with R/Python/SAS/SQL and Oracle/Teredata
  • Currently completing their Masters or PhD (Please note: PhD students must be in their final year of study)

 

Eligibility criteria can differ between universities, however at minimum you must satisfy all of the following:

  • You must be a PhD or Masters student currently enrolled at an AMSI member institution
  • Current students must be in their final year of study
  • You must have the approval of your principal supervisor to undertake the internship

 

Applications for this opportunity close on

Monday 22 February 2016

 

Submit your application via our website:

 

 Events and Workshops

Presenting Your Research with Impact

This half-day program is designed to provide participants with the tools, techniques and resources required to deliver professional presentations showcasing their research. The workshop briefly covers a range of presentations research students may have to deliver and focuses on the core requirements of academic presentations. The workshop is designed to equip participants with the skills and knowledge they require to confidently present their research in multiple situations and contexts.
The interactive session includes workbook  and theory based learning, case studies and demonstrations, group-work and experiential learning. Participants are encouraged to bring materials they have used in previous presentations.

Monday 29th February 1.30pm-4.30pm
 


We are always interested in hearing your thoughts on what workshops you would like to see in the On Track program. You can contact us at:
research.ed@rmit.edu.au 

To register for these workshops and to see a full listing of all On Track workshops, please click here.
Copyright © 2016 School of Graduate Research, All rights reserved.


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