Information retrieval technologies are a ubiquitous part of many people’s daily lives in the form of online search engines. Proactive information retrieval is an emerging area of research in which search systems are empowered to act autonomously to anticipate the information needs of a user or seek opportunities to provide the user with potentially useful information of which they may be unaware. This poses challenges of interpreting the user’s current activities and its relationship to the existing knowledge of the user. Conversational information retrieval aims to ease user engagement in a search engine by supporting them in identifying relevant information.
This project will focus on examining the use of conversational agents to enable the user to engage with the proactive information retrieval to identify useful suggested information, enable the proactive system to explain the reasons for its recommendations and for the user to provide feedback.
On completion of this PhD project, the student will have a strong knowledge of the state-of-the-art in established and emerging topics in information retrieval, including models of information seeking and information retrieval, development of experimental prototype systems and related evaluation strategies. The student will be expected to seek publication of their work at leading international venues and engage with international research benchmarks in information retrieval.
As an ADAPT funded PhD researcher you will have access to a network of 85 global experts and over 250 staff as well as a wide multi-disciplinary ecosystem across 8 leading Irish universities. We can influence and inform your work, share our networks and collaborate with you to increase your impact, and accelerate your career opportunities. Specifically we offer:
Applicants should have a strong undergraduate (2.1 or above) or Masters degree in Computer Science, Computer Engineering or related degree.
To register for a Postgraduate Research programme, a candidate must normally have obtained a primary degree classification equivalent to Lower Second Class Honours or above, from an approved University or an approved equivalent degree-awarding body, or have an approved equivalent professional qualification in an area cognate to the proposed research topic. See http://www.dcu.ie/registry/postgraduate/faq.shtml#q3
English language requirements for non-native speakers of English is available here: https://www.dcu.ie/registry/english.shtml
Informal enquiries about this position can be made via email to Prof Gareth Jones (email@example.com) referencing ‘PhD_IR_GJ’ in the subject line.
Each application should only consist of
ADAPT is committed to achieving better diversity and gender representation at all levels of the organisation, across leadership, academic, operations, research staff and studentship levels. ADAPT is committed to the continued development of employment policies, procedures and practices that promote gender equality. On that basis we encourage and welcome talented people from all backgrounds to join ADAPT.