At: NICTA Victoria Research Laboratory
Location: Melbourne, Australia
Closing date: April 1, 2012
National ICT Australia (NICTA) is Australia's ICT Research Centre of Excellence. NICTA aims to bring together world-class researchers and professional staff, enhance their skills, and build a culture of entrepreneurship and achievement in use-inspired research that will build Australia's ICT capacity.
We are seeking a Researcher to participate in several Biomedical Informatics projects at the NICTA Victoria Research Laboratory. Our projects address biomedical data analysis through data integration, with a specific focus on taking advantage of the information in textual resources. These projects cross the spectrum from genomic data analysis to clinical record mining. Active projects include integrating text analysis into protein function prediction and surveillance of fungal infections in the hospital setting. The successful candidate will work with an existing team---of researchers, software engineers, research students and faculty from the University of Melbourne, RMIT, and Monash University, and collaborators from biomedical partners---in developing new techniques in Text and Data Mining of value to biomedical and genomic researchers.
The successful candidate will have a PhD in Computer Science, Bioinformatics, Computational Biology, Computational Linguistics, or a related field, with a proven research contribution as evidenced by strong publications. Good programming skills and expertise in biological data analysis, machine learning, data mining, or probabilistic techniques is essential. Text mining expertise is highly desirable. Good communication and teamwork skills are also essential; previous experience in biomedical or molecular biology applications and a demonstrated history of innovation are highly desirable. Demonstrated experience in developing research agendas and supervising research students would be a bonus.
Terms: This is a contract position of up to 3 years, potentially renewable, to commence as soon as possible.