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From:
Margot Brereton <[log in to unmask]>
Reply To:
Margot Brereton <[log in to unmask]>
Date:
Sat, 19 Sep 2015 06:16:43 +0000
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Dear Colleagues and Students,

We are seeking PhD students for projects that seek to support and include children with learning difficulties to communicate, socialize and learn aided by new technologies. Projects span the fields of computer-human interaction and education. Applicants will be supported to apply for a full scholarship at QUT ($26K pa) and will be eligible for a $5Kpa  top-up scholarship. NOTE THE APPLICATION DEADLINE IS VERY TIGHT. IF INTERESTED PLEASE MAKE CONTACT.

If you hold an honours degree or a Masters degree (with at least a  25% research component) or equivalent experience, and have an interest in trialling new technologies to support children with learning and communication difficulties, please get in touch. Our research group takes a collaborative design approach working with people for whom the technology is intended in order to design technologies that fit with and enhance real people¡¯s lives.  We recognize the social context of technology use and seek to support learning in realistic home and classroom contexts over the long term, including remote Australian contexts and bilingual contexts.

Work in our research group is conducted in collaboration with Autism Queensland, CRC Autism, with a variety of mainstream schools, special schools and remote schools and in collaboration with a remote Aboriginal Land Council. Academic staff from the fields of both Human-Computer Interaction and Education will provide joint research supervision. Indigenous academic supervision and local supervision will be provided for work in indigenous contexts.
We seek applicants with backgrounds in human-computer interaction/computer science, interaction design,  education, social science or other related fields. Good communication, written and verbal skills are required. Aboriginal and Torres Strait Islander applicants are encouraged to apply.

For further information please contact [log in to unmask]<mailto:[log in to unmask]>. It is also helpful if you send a brief description of your capabilities and interests.  Formal applications are due by September 30th. Please make contact well before this deadline to discuss.


Sincerely,

Margot



Margot Brereton PhD | Professor | Discipline Leader Computer-Human Interaction
School of Electrical Engineering and Computer Science
Science and Engineering Faculty | Queensland University of Technology
S Block 1003 2 George St. GPO Box 2434, Brisbane QLD 4001 Australia
Ph +61 402 263 567 | Fax +61 7 3138 1516  Email: [log in to unmask]<mailto:[log in to unmask]>

PS: We also have opportunities in the following funded projects. Please make contact if you are interested.

Bio-Acoustic Observatory: Engaging Birdwatchers to Monitor Biodiversity by Collaboratively Collecting and Analysing Big Audio Data
This project will research how to crowd-source the collection and analysis of environmental sounds (birds, frogs etc) This will enable a bio-acoustic observatory which provides a scalable, objective and permanent record of the environment, something hitherto impossible. We will investigate how to engage the community of birdwatchers to extend their pastime online with new kinds of interactive tools to enable collaborative analysis of big audio data, and new kinds of birding experiences. Outcomes will be: new approaches to physical/virtual engagement in Human Computer Interaction,
new approaches to analysing big data, a new validated ecological monitoring technique and concepts for sustainable knowledge generationcommunities.

Visual Analytics for Next Generation Sequencing
Next generation Sequencing technologies have brought a revolution in biology and healthcare, while taxing the ability of scientists and clinicians to identify and process relevant data to ©ømake sense of it all and communicate it to others in a concise and meaningful way©÷. This project will tackle this problem through fundamentally new approaches to data selection and visualization at very large scale, actively encoding for insight into underlying biological and biomedical processes, bringing sustainable discovery of new relationships and variations within the data. Our work will support new approaches to medical diagnosis and treatment and offer crucial lessons to address the broader challenge of understanding large, complex data sets. Although next-generation sequencing has revolutionized biology and healthcare, the data sets involved are so massive that even specialists have problems working with them. This project will develop integrated visualisation and analysis methods to make genomic sequence data morecomprehensible to scientists and clinicians alike.


Margot Brereton PhD | Professor | Discipline Leader Computer-Human Interaction
School of Electrical Engineering and Computer Science
Science and Engineering Faculty | Queensland University of Technology
S Block 1003 2 George St. GPO Box 2434, Brisbane QLD 4001 Australia
Ph +61 402 263 567 | Fax +61 7 3138 1516  Email: [log in to unmask]<mailto:[log in to unmask]>
http://staff.qut.edu.au/staff/breretom/<mailto:[log in to unmask]>


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