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PhD scholarship on Knowledge Graph Validation at the Australian National University

From: Armin Haller <armin.haller@anu.edu.au>
Date: Thu, 5 Dec 2019 06:38:57 +0000
To: "semantic-web@w3.org" <semantic-web@w3.org>, "public-lod@w3.org" <public-lod@w3.org>
Message-ID: <A1D23D9F-438E-4433-9D29-A27284299926@anu.edu.au>
Fully-funded PhD position available in the area of Knowledge Graph Validation at the Australian National University in Canberra, Australia

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Application deadline: Dec 23, 2019
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The Research School of Computer Science at the Australian National University (ANU) in collaboration with Data61, the Energy Division of the Commonwealth Scientific and Industrial Research Organisation (CSIRO) and SURROUND Australia Pty Ltd., is seeking a highly motivated and dedicated PhD candidate to work on challenging, innovative, and interdisciplinary research projects at the intersection of Knowledge Engineering, machine learning and the Internet-of-Things.

The PhD will address requirements in discovering and managing data originating in the growing Internet-of-Things. The issues to be addressed are in identifying if data in a knowledge graph that has been created distributively by the output of many sensors is correct in relation to predefined models. These constraint models will be expressed as SHACL specifications and should be learned from previous data and/or models. This specific problem will be investigated on the basis of a case study that will integrate data from several "smart" buildings provided by our use case partners.

Candidate Profile
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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 Python, Java, and/or JavaScript;
- Strong formal background (mathematics, logic, etc.);
- Knowledge and experience within the fields of the semantic Web, Web services (REST), 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 or Brisbane, Australia
* Scholarship funding is available immediately, 3-year term
* From AUD $28,000 to AUD $38,000 per annum scholarship depending on top-ups
* Fee waiver to the PhD program at ANU
* Potential to supplement scholarship with teaching and tutoring work


Application Procedure
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Interested candidates are requested to send their application to armin.haller@anu.edu.au and Subbu.Sethuvenkatraman@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
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The Australian National University is Australia’s premier university, ranked 1st in Australia by the 2020 QS World University Rankings and 2nd in the 2020 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 Energy Division of CSIRO. The candidate will also be embedded in the international network of the Research School, and among other collaborations will work in relevant working groups of the W3C, which the ANU is Australia's host of.
http://www.anu.edu.au


CSIRO Data61
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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, Data61 is creating the data-driven future of Australia.
http://www.data61.csiro.au


CSIRO Energy
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Pioneers low-emission technologies that create value for industry and households, and provide the knowledge to guide Australia towards a smart, secure and sustainable energy future.
https://www.csiro.au/en/Research/EF


SURROUND Australia Pty Ltd
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SURROUND is a small tech start-up with staff distributed all over Australia. SURROUND's interests are in ontology engineering, knowledge graph management and data semantics applied to 'smart' fields such as smart cities and smart buildings. SURROUND is involved in bids to form a Cooperative Research Centre in Australia focussed on Smart Cities.
https://surroundaustralia.com


Received on Thursday, 5 December 2019 06:39:07 UTC

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