[Ieee_vis_open_positions] PhD positions available in the area of Linked Data Engineering and Semantic Sensor networks for Augmented Reality at ANU + CSIRO Data61

Matt.Adcock at csiro.au Matt.Adcock at csiro.au
Tue Dec 13 08:04:30 CET 2016

[Apologies for multiple postings]

Up to two fully-funded PhD positions available in the area of Linked Data Engineering and Semantic Sensor networks for Augmented Reality at the Australian National University in Canberra, Australia

Application deadline: Dec 17, 2016

The Research School of Computer Science at the Australian National University in collaboration with Data61 of the Commonwealth Scientific and Industrial Research Organisation (CSIRO) is seeking up to two highly motivated and dedicated PhD candidates to work on challenging, innovative, and interdisciplinary research projects at the intersection of Linked Data, ontology engineering, the Internet-of-Things and Augmented Reality.

The PhD will address requirements in discovering and managing data originating in the growing Internet-of-Things, while taking advantage of Augmented Reality to interact with such environments. The issues to be addressed are in identifying and assessing sensor data, using Web technologies, and managing its integration through ontologies while allowing for real-time search.

Candidate Profile
Candidates should meet the following requirements:
- A degree in Computer Science, Information Systems or a closely related field from a world class university, or a highly regarded university in your country with academic success in the top 5% of your class, or in the top 10% of your class with substantial research experience and academic referees willing to strongly support your application.
- Excellent Programming skills in languages such as Java, Python and JavaScript;
- Strong formal background (mathematics, logic, etc.);
- Familiarity with real time 3D graphics and/or computer vision;
- Knowledge and experience within the fields of the semantic Web, Web services (REST), cloud computing, data modelling, data engineering, and development skills will be highly regarded;
- Data science programming skills, such as R, MapReduce/Hadoop/SPARK, HIVE, NoSQL, and, JSON are a bonus;

Candidates should be able to work in a collaborative, multi-cultural environment with a strong commitment to achieving research excellence. The ANU is an equal opportunities employer and preference will be given to suitably qualified women, persons with disabilities or indigenous applicants, all other considerations being equal.

Location: Australian National University, Canberra, ACT, Australia
* Scholarship funding is available immediately, 3-year term
* From AUD $26,000 to AUD $36,000 per annum scholarship depending on top-ups
* Potential to supplement scholarship with teaching and tutoring work

Application Procedure
Interested candidates are requested to send their application to armin.haller at anu.edu.au and Matt.Adcock at data61.csiro.au in a SINGLE PDF file with the subject “[PhD]” including:
- A cover letter describing yourself and your research interests
- CV (including links to your publications, e.g. master thesis, conference/workshop/journal papers, if applicable)
- Transcripts
- Proof of proficiency in English (e.g. TOEFL or IELTS test results) if English is not your first language

Australian National University
The Australian National University is Australia’s premier university, ranked 1st in Australia by the 2016/17 QS World University Rankings and 2nd the 2015/16 Times Higher Education. It is located in the nation’s capital, Canberra, with Australia’s largest urban campus (1.45 square kilometres).
The Research School of Computer Science (https://cs.anu.edu.au/) focuses on applying foundational computing research on real-world challenges that demand the use of multiple conceptual and methodological approaches. The successful candidate will work on collaborative projects with the quantitative imaging group of Data61. The candidate will also be embedded in the international network of the Research School, and among other collaborations will work in the Spatial Data on the Web working group of the W3C.

CSIRO Data61
Data61 are the largest data innovation group in Australia, a connector that brings together technology innovators, businesses and universities to transform Australian industry and to help solve our greatest challenges. A CSIRO business, we are creating our data-driven future.

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