Job description
The New York University Abu Dhabi Center for Interdisciplinary Data Science and Artificial Intelligence (CIDSAI) and Computational Approaches to Modeling Language (CAMeL) Lab seek to hire a new research assistant to work in any of the CIDSAI/CAMeL research areas, to be involved in the development of open-source tools and resources, and to work on publications related to their work.
The newly established CIDSAI’s mission is to produce research in data science and artificial intelligence.
The CAMeL lab’s mission is focused on research in Arabic natural language processing and computational linguistics.
The selected candidate will assist with specific projects in CIDSAI that involve Arabic NLP, and will be housed in the CAMeL Lab.
Since its establishment in 2014, the CAMeL Lab has produced over 180 publications and 20 language resources and tools.
The lab website is http://www.camel-lab.com/.
Google Scholar of the lab is at http://scholar.camel-lab.com/.
The position will target the rank of Research Assistant (with BS or MS).
A strong preference is for individuals with (a) computer science or computer engineering degrees including previous experience in natural language processing or computational linguistics/language technologies degrees; (b) strong programming and software engineering skills, and machine learning experience; and (c) some research publication experience.
Knowledge of Arabic language is preferred, but not required.
Previous work on Arabic NLP is preferred but not required.
The terms of employment are very competitive and include housing and educational subsidies for children.
Applications will be accepted immediately and candidates will be considered until the position is filled.
To be considered, all applicants must submit a cover letter, curriculum vitae, transcript of degree, a one-page summary of research accomplishments and interests, and at least 2 letters of recommendation, all in PDF format.
Please visit our website at https://nyuad.nyu.edu/en/about/careers/postdoctoral-and-research.html for instructions and information on how to apply.
If you have any questions, please email: nizar.habash@nyu.edu.
About NYUAD:
NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering.
NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity.
This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective.
As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities.
EOE/AA/Minorities/Females/Vet/Disabled/SexualOrientation/Gender Identity Employer
UAE Nationals are encouraged to apply.
For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr
NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis.
All interested persons are encouraged to apply for vacant positions at all levels.
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