[RNLD] PhD Project: Situated Learning for Collaboration across Language Barriers, CDU-UoM, 31 October

[Steven Bird]

People working in development are often deployed to remote locations where
they work alongside locals who speak an unwritten minority language.
Outsiders and locals share know-how and pick up phrases in each other’s
languages. They are performing a type of situated learning of language and
culture. This situation is found across the world, in developing countries,
border zones, and in Indigenous communities.

This project will investigate new methods for cross-lingual collaboration,
drawing on the state of the art in speech processing, deep learning, and
interaction design. The research will be evaluated in terms of the
effectiveness of the interaction, the acquisition of language, and the
quantity of language data collected. The ultimate goal is to contribute to
the grand challenge of sustaining the world's linguistic diversity.

We’re looking for outstanding and highly motivated PhD candidates with
personal experience of linguistic diversity. Successful applicants will
divide their time between Charles Darwin University and the University of
Melbourne, undertaking a PhD at CDU and jointly supervised by researchers
at Melbourne. Candidates will be supported to conduct fieldwork in a remote
Indigenous community. Indigenous candidates are strongly encouraged to
apply. Candidates are expected to have a degree in computer science or
related discipline, advanced programming skills, and a background in
machine learning, speech processing, or interaction design.

The deadline for scholarship applications is 31st October 2018.

For further details please see:

https://apps.eng.unimelb.edu.au/research-projects/index.php?r=site/webView&id=564

-Steven Bird <steven.bird at cdu.edu.au>
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