Multiple vacancies for post-doctoral researchers to work on machine learning for text analysis

The Australian Centre for Visual Technologies has multiple vacancies for post-doctoral researchers to work on machine learning for text analysis. Successful applicants will have the opportunity to work with the large team of researchers in Adelaide where ACVT is based, as well as with other leading national and international academic and industrial partners.

This is an opportunity for a researcher with a background in machine learning methods and text processing to apply their experience to other forms of media. In particular, we are interested in the conjunction of text and images and the knowledge that can be inferred from them jointly. The ACVT has a deep pool of expertise in machine learning methods applied to images and video, and would like to use these appointments to develop new expertise in text processing. Thus, these positions would suit those who can effectively adapt across different but related areas of research, and are interested in expanding the horizons of their current research field.

Researchers will work with members of the ACVT, including Prof. Anton van den Hengel, and Prof Chunhua Shen, and will join a large, and growing, group of world-class researchers working in this rapidly developing area. This position forms part of the ACVT involvement in the Data 2 Decisions Cooperative Research Centre.

Duration: 2 years initially, but with the option to extend

The Australian Centre for Visual Technologies (ACVT), located at the University of Adelaide, is the largest computer vision and machine learning research groups in Australia. Based in Adelaide, we currently number over 50 members including academics, research staff and students. We work on a mixture of fundamental and commercially oriented research projects in computer vision and machine learning, and have a strong track record of publication in the top venues. The Data 2 Decisions Cooperative Research Centre is a newly funded initiative focussing on extracting actionable information from large volumes of data. The successful applicants will form part of a team working within the ACVT in this area.

Each successful applicant must have:

– a PhD in a relevant discipline

– a background in computer vision, machine learning, or both

– experience in C++, Python and/or Matlab

– a good publication record commensurate with experience

– fluency in written and spoken English

– the ability to work individually and as a member of a broader team

Salary: University Level B (AU$83,620 – 93,027 depending on qualifications), plus benefits. Some funding for relocation may be available. The ACVT has a generous conference attendance funding scheme for papers accepted to the major conferences.

The closing date for applications is 11:59 PM 19th September, 2014, Australian Central Standard Time (UTC+9.30). Please be sure to include in your application a full CV (including a publication list and statement of research expertise and interests) and the names of two referees.

Please email any queries and/or applications to: Mr Ian Will,, quoting reference number A02157.

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