----------------------------------
Application deadline: Dec 12, 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@anu.edu.au and
Matt.Adcock@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.
No hay comentarios:
Publicar un comentario