Post-Doctoral Researcher Level 1 in Statistical Machine Translation – Three posts

Overview

As part of this role the researchers will be required to participate in the DCU Research
Career Framework. This framework is designed to provide significant professional
development opportunities to Researchers and offer the best opportunities in terms of a
wider career path.
Background & Role(s)
The ADAPT Centre for digital content platform technology seeks to appoint three
postdoctoral researchers in Statistical Machine Translation (SMT) on the platform
research programme which addresses core research areas in the area of Statistical
Machine Translation. It is envisaged that two posts will commence in September 2015
and the third post will commence in January 2016.
ADAPT is Ireland’s global centre of excellence for digital content technology. Led by
TCD, it combines the expertise of researchers at four universities (Trinity College
Dublin, Dublin City University, University College Dublin, and Dublin Institute of
Technology) with that of its industry partners to produce ground-breaking digital content
innovations.
ADAPT brings together more than 120 researchers who collectively have won more than
€100m in funding and have a strong track record of transferring world-leading research
and innovations to more than 140 companies. With €50M in new research funding from
Science Foundation Ireland and industry, ADAPT is seeking talented individuals to join
its growing research team. Our research and technologies will continue to help businesses
in all sectors and drive back the frontiers of future Web engagement.
Principal Duties and Responsibilities
The successful candidate will work within a large group of Postdoctoral researchers, PhD
students and Software Developers. The work of the post-doctoral researcher will be
fundamental in discovering ADAPT research breakthroughs in SMT as identified in the
research plan agreed with SFI.
Reporting to his/her Principal Investigator the Postdoctoral Researcher will:
 Research solutions to problems in a number of areas of interest, including:
o integrating syntax and semantics into SMT,
o discourse-based MT,
o domain adaptation of existing models to new application areas,
o cloud-based models of SMT.
 Produce top-quality journal and conference publications, in collaboration with the
Principal Investigator (PI).
 Identify and write proposals for research funding.
 Participate in ADAPT Centre activities, such as industry showcases and annual
reviews.
 Provide support and advice to PhD students working on similar topics.
 Contribute to teaching and supervision in the School of Computing.
 Report on progress at meetings and in writing to ADAPT Centre Management.
 Assist in identifying and developing future research and funding initiatives.
 Engage in the dissemination of the results of the research in which he/she is engaged
with the support of and under the supervision of the PI.
 Engage in appropriate training and development opportunities as required by the PI,
the School or Research Centre, or the University.
 Liaise with both internal and external stakeholders including industry and academic
partners/collaborators.
 Carry out administrative work associated with the programme of research as
necessary.
Funding Information
The position is funded through the Science Foundation Ireland (SFI) ADAPT Research
Centre.

Company:

Dublin City University

Qualifications:

It is essential that applicants have a PhD in Machine Learning or a related discipline. In
addition, it is desirable that the candidate has a subset of the following skills:
 A strong background in SMT and translation technology, with a particular emphasis
on Moses-based SMT models
 Excellent machine-learning skills.
 Thorough familiarity with a range of linguistic formalisms.
 Excellent programming skills.
 Excellent research skills, with experience, ideally, in the following:
o SMT system-building and deployment expertise,
o a wide knowledge of automatic and human MT evaluation metrics,
o up-to-date knowledge of the main research areas using SMT, and
o cloud-based models of translation.
Note that demonstrable experience in the translation and/or localisation industry would
be advantageous, as the successful applicant will be expected to spend approximately
20% of their time on the ADAPT Spokes programme on applied research topics of
interest to our industry partners.

Specific requirements:

Fixed term contract up to 48 months

Educational level:

Ph. D.

How to apply:

Please mention NLP People as a source when applying

http://www.dcu.ie/sites/default/files/hr/Post%20Doctoral%20Researcher%20in%20Statistical%20Machine%20Translation%20%28Platform%29%20-%20Ref%2085.pdf

Tagged as: Academia, Ireland, Machine Learning, Machine Translation, NLP, Ph. D., Tagging