[Corpora-List] Job Announcement: MT, NLP, CLIR or ML

zhang min mzhang at i2r.a-star.edu.sg
Fri Jun 2 09:56:01 CEST 2006

(Apologize for cross posting)

Job Announcement: MT, NLP, CLIR or ML

INSTITUTE: Institute for Infocomm Research (I2R)
LOCATION: Singapore

The Institute for Infocomm Research (I2R) is a member of the Agency for
Science, Technology and Research (A*STAR) in Singapore. The mission is to
advance infocomm technologies for the benefit of humanity and prosperity.
I2R integrates R&D in information, communications and media (ICM)
technologies to develop holistic solutions across the ICM value chain.

We are looking for 2 to 3 candidates to fill the following positions.

JOB TITLE: Senior Research Fellow, Research Fellow or Research Engineer

TECHNICAL SKILLS: Specialize in Natural Language Processing, Machine
Translation or Multilingual Modeling

JOB DESCRIPTIONS & RESPONSIBILITIES: The candidate shall contribute to
current and future research in language processing, in particular
multilingual information access and machine translation. The candidates are
expected to conduct in-depth study and research, and participate in
developmental projects.

PhD or Master in Computer Science or Engineering or Mathematics or a
closely related area
Strong foundation in language technologies and advanced experiences
in the following areas:
- Statistical and/or Machine Learning approaches in NLP
- Machine Translation and/or Multilingual Modeling
- Statistical Parsing and Statistical Language Model
- Strong programming skills (C/C++, Perl or Java)
- Strong interest in conducting applied research with the ability to
deliver solutions
- Ability to work as a team
- High degree of integrity, passion and drive
- Proficiency in written and spoken English and/or Chinese or any
other language

Candidate with the following experiences will have an advantage:
Evidence of excellent independent research in publications or awards
Solid R&D experience in Statistical Machine Translation (SMT) and
Multilingual Modeling such as:
- bilingual term/phrase extraction from parallel/comparable corpora
or monolingual corpora
- various word-alignment and SMT models
- SMT Training and Decoding algorithms

EMPLOYMENT TERM: Tenure or contractual with annual renewal

We offer a friendly and enthusiastic working environment with competitive
pay and comprehensive benefits. To apply, please forward your CV (with
detailed experiences and your research interest, as well as name and contact
information of two references) to Dr. Min ZHANG at mzhang at i2r.a-star.edu.sg
and Ms. Aiti AW at aaiti at i2r.a-star.edu.sg.

Review of applicants will begin immediately and continue until the positions
are filled.

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