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Trinity College Dublin

Post-Doctoral Researcher in Personalised Information Retrieval and Knowledge Discovery

Closing Date: 
September 30, 2014

Fixed term contract up to 31 August, 2015

CNGL Centre for Global Intelligent Content,
Knowledge & Data Engineering Group (KDEG),
School of Computer Science & Statistics (SCSS)

Salary: Appointment will be made on the SFI Level 2B Post-Doctoral Researcher Salary Scale (€42,394 to €46,255)

Closing Date and Time: 12 noon on Tuesday 30 September, 2014

A full job spec can be found at -

Post Summary
CNGL is seeking a Post-Doctoral Researcher to further research within the areas of: Personalised Information Retrieval, Explorative Knowledge Discovery, Web Search, and Result Diversification. This is part of the collaborative research taking place under the Search and Discovery theme within CNGL.

Background and Funding
The CNGL Centre for Global Intelligent Content is a €50M Academia-Industry partnership, funded jointly by Science Foundation Ireland (SFI) and Industry. CNGL has entered a second cycle of funding and is now seeking researchers to join the team at Trinity College Dublin. CNGL is an active collaboration between researchers at Trinity College Dublin (TCD), Dublin City University (DCU), University College Dublin (UCD), University of Limerick (UL), as well as several industrial partners, including Microsoft, Symantec, Intel, DNP, Welocalize, and a number of SMEs. CNGL comprises over 100 researchers across the various institutions developing novel technologies addressing key challenges in the global digital content and services supply chain. CNGL is also involved in a large number of European FP7 projects, as well as commercial projects in the areas of language technologies, information retrieval and digital content management.

Standard Duties and Responsibilities

  • Contribute to high quality collaborative research, and publish the work in top international journals and conferences.
  • Pro-actively work with other researchers in coordinating collaboration across research themes, across research challenge groups and across member institutions to successfully deliver research prototype systems (as part of CNGL’s Showcase Scenario Programme).
  • Assist the Operations team in the planning and organisation of demonstration of collaborative research outcomes at public events.
  • Track, monitor and report on progress and performance. Provide regular updates on progress to relevant stakeholders, alerting them to emerging issues or timeline slippage in a timely fashion. Mitigate risk and take corrective action as required.
  • Liaise closely with CNGL’s Intellectual Property Manager and Commercialisation Manager in assessing research outputs for IP protection and commercial potential.

Candidate Specification


  • PhD in a relevant field (e.g. Information Retrieval, Cross-Language Information Retrieval, Personalisation, Adaptive Hypermedia, etc.).

Knowledge and Experience

  • Background in one or more of CNGL’s research areas (e.g. Search Systems, Personalisation and Adaptivity, Digital Content Management, Natural Language Processing, Machine Translation and Localisation, Multilingual Information Retrieval, etc.).
  • A good publications record in reputable international journals/conferences/workshops.
  • Hands-on experience with developing software components.
  • Experience with research project management within an academic research environment is a plus.
  • Industry experience is a plus and would provide a distinct advantage for the applicant.

Skills and Competencies

  • Competency in programming, web development, and databases (desirable: Java, HTML, CSS, Javascript, XML, advanced web development frameworks, any RDBMS tool). Mobile application development is a plus.
  • Strong interest in applied research and in the application of research outcomes to solve societal and industry problems.
  • Excellent communication skills, both written and oral.
  • Excellent academic writing skills (clear, concise and error-free writing; free of grammatical and punctuation errors).
  • Excellent interpersonal skills and an ability to build and nurture work relationships.
  • Strong problem solving and analytical skills and an ability to learn quickly.
  • A strategic thinker that doesn’t lose sight of overall research goals and priorities.
  • A pro-active self-starter with the ability to encourage and stimulate cross-group collaboration.
  • Ability to work effectively cross-organisationally and cross culturally.
  • Ability to operate effectively as part of a team – tolerant, cordial and willing to help others, shares work and information; establishes rapport with others.
  • Ability to handle multiple tasks simultaneously and meet all deadlines.