Computing Internship - ML Research Labs (Project 3)

This position is offered through the ANU Computing Internship

Company

ML Research Labs performs leading research and applications in deep learning.

There are 3 internship projects on offer with ML Research Labs

Project 3: (ML Labs Class of 2022 Challenge 3) Which language is he/she speaking? 

As we celebrate our great multicultural country, we need to understand what language people are speaking, which is the first step of establishing understanding. There are over 60 commonly spoken community languages in Australia besides English.

Your challenge is to select 20 common ones, and create a highly accurate deep neural network to classify it into one of the 20 languages, plus an unknown class.

You will need to engineer software for both training the machine learning model, and making predictions on a short audio clip.

References: Spoken Language Detection Paper: https://arxiv.org/abs/1910.04269

 

Required/preferred technical skills or experience in software languages, environments, platforms.

Python, Tensorflow, Pytorch, Linux, Git

Required professional skills

  • Able to brainstorm and learn in both group and individual setting
  • Clarity in technical communication

Delivery Mode

In-person only. 

Student location

Student must be located in Canberra only.

Other requirements

The Intern will be required to get a Police Check. 

Eligibility

All students are encouraged to apply, but priority is given to citizens and permanent residents.

How to apply

Applications are invited from eligible students to apply for the Computing Internship courses COMP3280 or COMP8830. Eligibility details and further information about the Computing Internship can be found on the Computing Internship page

1. Students must first seek confirmation of eligibility by submitting an Eligibility and Room Available in degree check.  

2. Eligible students can then apply through the Computing Internship application form. You can nominate multiple preferred Internship placements through the one application form.

3. Your application will require you to upload the following documents:

  • an updated copy of your Resume, and
  • an Expression of Interest (limit 350 words) for each organisation you wish to apply to (for organisations with multiple projects only submit one Expression of Interest but state clearly which project/s you wish to be considered for).

Applications for Round 2 open on 29 October and close on 7 November 2021.

Application closing date

7 November 2021
Applications open for this opportunity: 
15 Sep 2021
Study level: 
Postgraduate
Undergraduate
Student opportunity type: 

Updated:  10 August 2021/Responsible Officer:  Dean, CECS/Page Contact:  CECS Marketing