About this role
As part of this role the researcher 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
The ADAPT Centre, the centre for digital content platform research seeks to appoint a
postdoctoral researcher in Machine Translation Models and Evaluations. ADAPT is
Ireland’s global centre of excellence for digital content and media innovation. 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 EURO 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.
The successful applicant will be assigned to work on the QT21 project. The objective of
the QT21 project is to produce significantly improved machine translation models for
language pairs that include “difficult” languages, focusing on morphologically rich and
syntactically divergent languages and languages that are under-resourced. This will be
achieved by developing new machine-learning-based Syntactic and Semantic Translation
Models for High-Quality Translation, develop new Translation Models for Underresourced
and Morphologically Complex Languages, and new approaches to Human
Informed Evaluation of translations and Continuous Learning.
Principle Duties and Responsibilities
The successful candidate will work within a large group of Postdoctoral Researchers,
PhD students and Software Developers. The research will combine both applied research
and platform research.
Reporting to his/her Principal Investigator the Postdoctoral Researcher will:
Apply machine learning algorithms to translation quality estimation and
evaluation.
Apply translation quality estimation and evaluation to tuning of machine
translation system.
Carry out research on deep and abstract syntactic and especially semantic
representations of linguistic information.
Explore deep language analysis as well as graph-based translation methods with
complex representations and related topics, such as general feature selection and
use, use of content reference, and the capture of surface-to-semantic relations.
Provide support and advice to PhD students in the same project, as well as to
others working in the Theme.
Produce top-quality journal and conference publications, in collaboration with the
PI.
Participate in ADAPT centre activities, such as industry showcases, annual
reviews and industry targeted projects.
Report on progress at meetings and in writing to ADAPT centre management.
Assist in identifying and developing future research and funding initiatives,
identify and write proposals for research funding.
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:
Minimum Criteria
It is essential that applicants have a PhD in Machine Translation, Natural Language
Processing or a related discipline. The successful candidate should have a strong
background in machine learning and statistical machine translation (SMT), as well as
experience with state-of-the-art machine learning and SMT technologies. In addition, the
candidate should have:
Required Skills:
Excellent research skills with proven publication record in machine translation,
especially in semantic and syntactic translation models, translation evaluation
metrics, and discriminative training for machine translation.
Strong academic writing and presentation skills.
Excellent programming skills.
Ability to work independently as well as a team member.
Self-motivated, mature and good time management/planning skills.
Desirable Skills:
Ability to supervise postgraduate or PhD students.
Experience in project management.
Experience of working with industries.
Specific requirements:
Up to 36 Months
How to apply:
Please mention NLP People as a source when applying