The University of Melbourne is recruiting applicants for a 3-year PhD studentship in information extraction from the published scientific research literature. Topics of interest include relation and event extraction, co-reference resolution, and analysis of the semantics of tables. The precise focus of the PhD research will be determined based on the student's interests, but is expected to involve natural language processing of the scientific literature, with a particular desire to develop novel approaches to biochemical information extraction that take advantage of deep learning.
The project is in collaboration with Elsevier BV, a leading scientific publisher. In addition to access to substantial full text literature that is enabled through this collaboration, we will be working closely with the Content and Innovation team at Elsevier to develop solutions that have substantial practical applications.
The student will join the natural language processing group in the Department of Computing and Information Systems at the University of Melbourne and will work under the direction of Associate Professor Karin Verspoor and Dr Trevor Cohn. The project also involves collaboration with Associate Professor Lawrence Cavedon from RMIT University.
Company
University of Melbourne
Qualifications
a strong undergraduate honours (with research) degree or a Masters Degree in Computer Science or related field
understanding of methods in machine learning and computational linguistics
interest in acquiring knowledge of the biochemical domain, if not some prior experience with the domains of biology or chemistry
prior experience in research projects
good communication and writing skills
Specific requirements
The student would ideally begin in July **** for Semester ******, although that is dependent on the University application and scholarship processes and confirmation of the external funding. The scholarships are available to both domestic Australian and international students.
Educational level
Master Degree
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