Post-doctoral Research Fellow Position in Semantic Web & Knowledge Management Research

Apologies for cross posting.
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*Skeletome - A Curated Online Knowledge Base Integrating Clinical and
Biological Information*
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*Position Information *
One post-doctoral research fellowship position is available in the eResearch
Lab, School of ITEE, the University of Queensland (UQ) Australia. The
successful candidate will work in the ARC-funded Skeletome project and
undertake cutting-edge, interdisciplinary research in Bioinformatics,
Semantic Web and social networking.

The UQ eResearch Lab is a leading research group within the School of ITEE
renowned for its high quality, innovative and cross-disciplinary research
into ICT methods for the management and preservation of large collections of
digital data and information. The Lab is renowned for developing semantic
interoperability and data integration frameworks to enable searching,
correlation, analysis and visualization across large-scale, distributed
cross-disciplinary collections within the cultural and scientific domains.

This is a full-time, fixed-term position for three years at Postdoctoral
Research Fellow level (Academic Level A
http://www.uq.edu.au/current-staff/index.html?page=123704&pid=11893). The
remuneration package will be commensurate with skills and experiences and
also include employer superannuation contributions of 17% of salary. The
position will be based in the St Lucia campus of UQ.

*Project Summary *
Skeletal dysplasias are a heterogeneous group of genetic disorders affecting
skeletal development. They affect up to 10,000 children and adults in
Australia and 4,000,000 patients worldwide suffer from one of these
debilitating disorders. Molecular genetic research on skeletal dysplasias
has advanced considerably over the years. However, the lack of a
comprehensive information repository about skeletal dysplasias hinders
collaborative research and diagnosis in this area.

This project aims at creating an online, expert-curated, community-driven
knowledge base that uses Semantic Web technologies to integrate information
about skeletal dysplasias, including molecular genetic causes, clinical
features, diagnosis and management information. The specific aims of this
project include:

- Create an ontology-enabled Wiki for collaborative authoring and automated
knowledge acquisition and management;
- Develop semantic annotation, integration, inferencing and querying
services;
- Develop semantic-based image classification, search and retrieval
services;
- Develop social-networking capabilities for mapping domain expertise.

*Duties *
- Work with project PIs on the Skeletome project, investigating into
semantics-based information annotation, integration, visualization,
inferencing and querying problems.
- Publish in prestigious conferences and journals.
- Take part in student supervision within the project.
- Participate in the supervision of undergraduate and postgraduate students.

*Eligibility*
- The successful candidate should have strong research experiences and
excellent publication track record in areas such as ontologies (development,
reasoning), RDF processing (triple stores), machine learning, text
processing and social networking analysis.
- Applicants should have either completed a PhD or have recently submitted
the PhD thesis in computer science, information technology, bioinformatics
or a related discipline from a reputable university.
- Experiences with software design and development.
- Both domestic and international candidates are welcome to apply.

*Contact*
All inquiries should be sent to:
- Prof. Jane Hunter (http://www.itee.uq.edu.au/~jane/)
- Dr. Yuan-Fang Li (http://www.itee.uq.edu.au/~liyf/)