31.2253, Jobs: Computational Linguistics: Research Engineer, Educational Testing Service

[The LINGUIST List]

LINGUIST List: Vol-31-2253. Fri Jul 10 2020. ISSN: 1069 - 4875.

Subject: 31.2253, Jobs: Computational Linguistics: Research Engineer, Educational Testing Service

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Date: Fri, 10 Jul 2020 14:26:03
From: Dave Yanchuk [dyanchuk at ets.org]
Subject: Computational Linguistics: Research Engineer, 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: Associate Research Engineer
Job Rank: Other; Research Engineer

Specialty Areas: Computational Linguistics 


Description:

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. 

ETS's Research & Development division has an opening for an Associate Research
Engineer in the NLP & Speech research group. The projects in this research
group focus on the application of NLP, speech, dialogue, 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 speech
and text 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. This is an excellent opportunity to be part of a world-renowned
research and development team and have a significant impact on existing and
next-generation NLP, speech, dialogue, and multimodal systems and their use in
educational applications. 

Responsibilities:
- Assist in the implementation of assessment components including NLP, speech
processing, dialogue systems, or multimodal processing in the scope of medium-
to large-scale, complex research projects for ETS researchers, testing program
areas, and external clients. Consult with research scientists in the
application, modification, and documentation of such systems using established
technologies and novel approaches from the research literature.   
- Analyze, design, modify, develop, document and implement technologies for
executing medium- to large-scale, complex NLP, speech, dialogue, and
multimodal research and development tasks.  
- Consult with research supervisory staff on the development of technologies
for executing medium- to large-scale, complex NLP, speech, dialogue, and
multimodal research and development tasks.  Contribute to the implementation
and support of new NLP, speech, dialog, and multimodal methodologies to
support research system development. 
- Assist in the preparation of research project proposals and cost/resource
estimates. 
- Implement components of technical documentation of NLP, speech, dialogue,
and multimodal systems, solutions and results. 

Requirements:
- Master's degree in Computer Science, NLP, Cognitive Science, Educational
Technology, Human Computer-Interaction, Language Technology, Computational
Linguistics, Linguistics or a closely related field. 
- A strong programming background (preferably in Python), and facility with
computational algorithms are essential. Experience in statistics and using
machine learning toolkits (such as scikit-learn and Tensorflow) are highly
desirable. 
- Experience with text, speech, dialog, and multimodal processing
tools/frameworks (such as NLTK, Praat, OpenSMILE and Kaldi) is desirable.  
- Knowledge of UNIX and Windows computing environments and familiarity with
UNIX tools, scripting languages, and tools for managing software projects. 
- Familiarity with algorithms, methods and data structures in common use in
the processing of speech, language, dialogue, and multimodal data. 

For a full list of position responsibilities and to apply please visit the
application link provided below.

EOE



Application Deadline:  (Open until filled)
	  
Web Address for Applications: https://bit.ly/3eflXVV 
Contact Information:
	Dave Yanchuk 
	Email: dyanchuk at ets.org 


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