*** Apologies for cross posting. ***
==PhD Scholarship Opportunity on Visualisation of Expressive Ontologies at
Monash University, Australia==
===The Opportunity===
Applications are invited for a funded PhD scholarship position at Monash
University, Australia. The successful candidate will perform research in the
junction of information visualisation, bioinformatics, and the Semantic Web.
The candidate will work under the supervision of Prof. Falk Schreiber and Dr.
Yuan-Fang Li at the Faculty of Information Technology, Monash University.
The Gene Ontology (GO) [1] is one of the most widely used biomedical
ontologies. It comprehensively describes different aspects of genes and gene
products under three broad categories, (1) biological process, (2) cellular
components and (3) molecular functions. GO is currently being actively extended
in the LEGO project to create a new annotation system to provide more
extensible and expressive annotations.
This project aims to investigating novel visualisation techniques for GO-LEGO
and its integration with the Systems Biology Graphical Notation (SBGN) [2]. The
information can be seen as networks, and although there are some solutions for
network layout, none is particularly tailered towards this application.
Specifically we will investigate how domain knowledge captured in ontologies
can assist in creating high-quality layouts.
[1] Ashburner, Michael, et al. "Gene Ontology: tool for the unification of
biology."Nature Genetics 25.1 (2000): 25-29.
[2] Le Novère et al. "The Systems Biology Graphical Notation" Nature
Biotechnology 27 (2009): 735-741.
===Candidate Requirements===
The successful student will have an excellent academic track record in computer
science, bioinformatics or a related discipline. Applicants are expected to
possess very good programming and analytical skills, be able to work
independently as well as cooperatively with others. Research experiences in
ontologies, knowledge representation, bioinformatics or information
visualisation would be highly advantageous.
Candidates will be required to meet Monash entry requirements which include
English-language skills. Details of eligibility requirements to undertake a PhD
are available at http://www.monash.edu/migr/apply/eligibility/phd/ and
http://infotech.monash.edu/research/degrees/prospective-students/entry-requirements.html.
===Remuneration===
The scholarship will be awarded at the equivalent of Australian Postgraduate
Award (APA) rate, which is currently $25,392 per annum full-time (tax-free).
The scholarship is tenable for three years, and extendable for up four years,
dependent on satisfactory progress and availability of funding.
===Organisational context===
Monash is a university of transformation, progress and optimism. Our people are
our most valued asset, with our academics among the best in the world and our
professional staff revolutionising the way we operate as an organisation. For
more information about our University and our exciting future, please visit
http://www.monash.edu.
The Faculty of Information Technology (http://www.monash.edu/infotech)
undertakes teaching and research across a broad range of information technology
disciplines: computer science, computational science, intelligent systems,
software engineering, network computing, information systems, business
intelligence and decision support, multimedia computing and applications,
information management, and knowledge management.
It is one of the few faculties of information technology in the world and one
of the largest academic information technology units within a tertiary
institution in the world. Its research-intensive, multidisciplinary,
international capabilities provide it with a set of exciting teaching,
research, and engagement opportunities that position it uniquely within the
tertiary sector.
The Faculty has a strong commitment to providing the highest-quality learning
opportunities for its students. The Faculty's research degrees are designed to
produce high-calibre scholars who are capable of cutting-edge pure or applied
research in either academe or practice.
The Faculty strives to undertake high-quality, high-impact research. It has
chosen to focus its efforts through four research flagship programs, namely:
* Computational Biology
* Data Systems and Cybersecurity
* IT for Resilient Communities
* Machine Learning
* Modelling, Optimisation & Visualisation
These flagships provide a highly focused research direction in particular areas
where the Faculty has significant and internationally recognised research
expertise. In addition, they inform the teaching activities of the Faculty.
===Submitting an Expression of Interest (EOI)===
Interested applicants should submit the following:
* The expression of interest (EOI) form
(http://www.infotech.monash.edu.au/research/degrees/prospective-students/fit-expression-of-interest.doc)
required by Monash University,
* A resume in PDF containing tertiary academic track record and achievements,
research and work experiences (if any), and contact details of 3 referees,
* Academic transcripts, and
* A brief statement explaining your motivation and suitability for
undertaking PhD research on this topic.
===Enquiries===
For more details about the project and the scholarship please contact:
* Prof. Falk Schreiber (falk.schrei...@monash.edu)
* Dr. Yuan-Fang Li (yuanfang...@monash.edu.)
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