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EMPLOYMENT ROLES The School of Information Technologies has four staff dedicated to the Scamseek project. The project aims to perform document classification of internet pages. There are two principle types of documents of concern: those that give financial advice by unregistered advisors, and unregistered investment schemes. Partners: Capital Markets Co-operative Research Centre (CMCRC); Australian Securities and Investment Commission (ASIC); University of Sydney; Macquarie University; SMARTS ALL POSITIONS ARE CURRENTLY FILLED Software
Engineer (2 positions) Software Engineer (2 positions) Two software engineers develop to an acceptable industrial standard computer system for the classification of documents. The software engineers have superior skills at system design, programming and testing, and excellent communication skills. Also essential are: experience with the architecture, design, testing and formal specifications of analytic software, experience in UNIX/LINUX and Windows Operating Systems and integration of systems running on UNIX/LINUX server and Microsoft clients.
Computational Linguist The Computational Linguist is required to research appropriate machine learning solutions for document classification, and the incorporation of semantic analysis into a document classification system. The CL has superior programming skills, excellent communication skills and research and investigative skills.
Linguist The Linguist conducts linguistic analysis (semantic and lexico-grammatical) of documents for the purpose of identifying the distinctive elements in the texts that can be used in an industrial standard computer system for the classification of documents. They also analyse the semantic and lexico-grammatical features of text and text for identifying specific semantic phenomena. |
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