\n<\/p>\n
RMIT University invites applications from a talented PhD candidate to undertake world-leading research in information retrieval in 2020.<\/p>\n
Project details:<\/strong><\/p>\n Project 1: \u201cNew Approaches to Interactive\u00a0Sessional\u00a0Search for Complex Tasks\u201d<\/strong><\/p>\n Exploratory search tasks are often open-ended, persistent, and multifaceted, but current search engines are ill-equipped to support complex information needs. In this project, we will devise new approaches to handling complex information needs and interpreting the intentions of users. We will create a system that steps well beyond current \u201cweb search\u201d, and provide better-quality answers and greater certainty of successful outcomes for complex information-seeking tasks.<\/p>\n Project 2: \u201cMachine Learning for Information Retrieval\u201d<\/strong><\/p>\n In this project, we will explore novel applications of machine learning in large-scale search engines. In particular, we will investigate applications of high-performance machine learning in early-stage candidate generation for various query reformulation and parameter prediction tasks, develop and evaluate new deep learning models for improving effectiveness in reranking and result presentation stages.<\/p>\n Eligibility for these scholarships requires at least one of the following:<\/p>\n In addition, having one or more of the following is desirable:<\/p>\n All applicants Meet RMIT University\u2019s entry requirements for the\u00a0Higher Degree by Research programs.<\/p>\n To apply, please submit the following documents to\u00a0A\/Prof Shane Culpepper<\/p>\nWorth of Award<\/strong><\/h4>\n
\n
Eligibility<\/strong><\/h4>\n
\n
\n
How to Apply<\/strong><\/h4>\n
\n