30.3016, Jobs: Computational Linguistics: Researcher, Educational Testing Service

[The LINGUIST List]

LINGUIST List: Vol-30-3016. Fri Aug 02 2019. ISSN: 1069 - 4875.

Subject: 30.3016, Jobs: Computational Linguistics: Researcher, Educational Testing Service

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Date: Fri, 02 Aug 2019 12:09:18
From: David Yanchuk [dyanchuk at ets.org]
Subject: Computational Linguistics: Researcher, Educational Testing Service, Princeton, New Jersey, USA

 
University or Organization: Educational Testing Service 
Job Location: New Jersey, USA 
Web Address: https://www.ets.org/
Job Title: Educational Testing Service
Job Rank: Researcher

Specialty Areas: Computational Linguistics 


Description:

Associate Research Scientist, NLP

Educational Testing Service (ETS), with headquarters in Princeton, NJ, is the
world’s premier educational measurement institution and a leader in
educational research. As an innovator in developing achievement and
occupational tests for clients in business, education, and government, we are
determined to advance educational excellence for the communities we serve. Our
Research & Development division is seeking a research scientist in the NLP &
Speech research group. The projects in this research group focus on the
application of NLP, speech, dialog, and multimodal processing algorithms in
automated scoring capabilities for assessment and learning tasks involving
constructed responses (such as essays and spoken responses). In addition to
its signature automated scoring systems for text and speech assessments, the
group is actively pursuing technology innovation in education and learning
spaces by performing foundational research, prototyping next-generation
capabilities, and collaborating with academic and industry partners. Become
part of a world-renowned research and development team and have a significant
impact on existing and next-generation NLP, speech, dialog, and multimodal
systems and their use in educational applications.

Responsibilities:
- Conceptualizing, proposing, obtaining funding for, and directing small
projects in the area of deep learning for NLP applications and assisting in
moderate-to-major research projects. Projects may include foundational
research projects, development projects that use scientific principles and/or
previous research and development projects that aim to create new products or
product prototypes.
- Assisting in generating or contributing to new knowledge or capability in
the field of deep learning for NLP and applying that new knowledge and
capability to existing and/or new ETS products and services. Some NLP areas
that are relevant at ETS include (but are not limited to) grammatical error
detection, paraphrase detection, semantics, discourse, argumentation,
figurative language, generation, text classification and inference.
- Becoming a member and regular presenter at the annual meetings of one or
more organizations substantively related to the work of ETS (e.g. ACL, AAAI,
NCME, AERA).

Requirements:
- Ph.D. in Computer Science, Computational Linguistics, Natural Language
Processing, Linguistics, or a similar area with major education in NLP.
- One year of independent substantive research experience in NLP. Experience
can be gained through doctoral studies.
- Strong knowledge of, and practical experience with deep learning paradigms
and toolkits (e.g., TensorFlow, pytorch, keras).
- Practical expertise with NLP, experience with machine learning toolkits
(e.g., Weka, scikit-learn), and fluency in at least one major programming
language (e.g. python, Java).

We offer a competitive salary, comprehensive benefits, possible relocation
assistance and excellent opportunities for growth. For full position
responsibilities and to apply please visit the application link provided
below.

Educational Testing Service is an Equal Opportunity and Affirmative Action
Employer of Women and Minorities. Educational Testing Service is an Equal
Opportunity and Affirmative Action Employer of protected Veterans and
Individuals with Disabilities. Educational Testing Service is a Drug-free
workplace.



Application Deadline: 31-Jan-2020 
	  
Web Address for Applications: http://www.Click2Apply.net/pywcrjx3x85g6cj8 
Contact Information:
	David Yanchuk 
	Email: dyanchuk at ets.org 


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