Job: PostDoc Position in Personalised Information Retrieval and Knowledge Discovery, Trinity College, Dublin

[Thierry Hamon]

Date: Thu, 11 Sep 2014 15:43:24 +0100
From: Séamus Lawless <seamus.lawless at scss.tcd.ie>
Message-Id: <E2EE7CCD-ACD9-4F0E-854A-7907EA19104B at scss.tcd.ie>
X-url: https://www.scss.tcd.ie/seamus.lawless/PD-SD.pdf


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 and application procedure can be found at -
https://www.scss.tcd.ie/seamus.lawless/PD-SD.pdf

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

Qualifications

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.

Many thanks,

Prof. Séamus Lawless

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