About this role
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 two
postdoctoral researchers in Statistical Machine Translation (SMT) on the targeted
research programme which addresses the research and development interests of ADAPT
industry partners. It is envisaged that the two posts will commence in September 2015.
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 this post-doctoral researcher will be
fundamental in applying ADAPT research breakthroughs in SMT to application areas
identified by our commercial partners, with whom the researcher will necessarily work
closely.
Reporting to his/her Principal Investigator the Postdoctoral Researcher will:
Research solutions to problems identified by industry partners in the application of
SMT in their translation pipelines. This may include, but is not limited to, the
following:
o domain adaptation of existing models to new application areas,
o improved reordering models,
o online/offline iterative retraining,
o MT integration with Translation Memory systems,
o integration of terminology in SMT models,
o hybrid SMT—Rule-Based systems,
o cross-lingual search.
Produce top-quality journal and conference publications, in collaboration with the PI,
and, where appropriate, industry partners.
Identify and write proposals for research funding.
Participate in ADAPT centre activities, such as industry showcases and annual
reviews.
Provide support and advice to any PhD students working on the same project.
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 Principal Investigator.
Engage in appropriate training and development opportunities as required by the
Principal Investigator, 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.
Company:
Dublin City University
Qualifications:
It is essential that applicants have a PhD in Machine Translation or a related discipline. In
addition, it is desirable that the candidate has:
Demonstrable experience in the translation and/or localisation industry.
A strong background in statistical machine translation and translation technology,
with a particular emphasis on Moses-based SMT models
Excellent machine-learning skills.
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 areas of application for SMT in industry and
academia,
o cloud-based models of translation,
o machine learning.
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