23.4315, Jobs: Automatic Speech Recognition; Computational Linguistics: Research Programmer, University of Minnesota

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LINGUIST List: Vol-23-4315. Mon Oct 15 2012. ISSN: 1069 - 4875.

Subject: 23.4315, Jobs: Automatic Speech Recognition; Computational Linguistics: Research Programmer, University of Minnesota

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Date: Mon, 15 Oct 2012 14:38:02
From: Serguei Pakhomov [pakh0002 at umn.edu]
Subject: Automatic Speech Recognition; Computational Linguistics: Research Programmer, University of Minnesota, Minnesota, USA

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University or Organization: University of Minnesota 
Job Location: Minnesota, USA 
Web Address: http://www.pharmacy.umn.edu/centers/cccn/
Job Rank: Research Programmer  

Specialty Areas: Computational Linguistics; NLP, Automatic Speech Recognition


Description:

The College of Pharmacy at the University of Minnesota is seeking a
talented, pro-active and innovative individual for a Research Programmer
position to work on several projects in Center for Clinical and Cognitive
Neuropharmacology (C3N). C3N is engaged in conducting interdisciplinary
research focused on cognitive effects of medications and neurodegenerative
disorders such as Alzheimer's disease. Computerized assessment is used to
measure these cognitive effects. The successful candidate for this position
will be responsible for a variety of computer-related tasks including
creating and maintaining innovative computer-based neuropsychological
testing applications that involve spontaneous speech and language
collection and analysis. The successful candidate will also be responsible
for creating and maintaining databases used to store and organize
experimental samples and web-enabled interfaces to the databases and data
analysis tools. The successful candidate will also be expected to work with
graduate and undergraduate students on specific programming and research
projects to meet the needs of the Center.  

Required skills and characteristics: 
Education: Master's degree in computer science, electrical engineering,
computational linguistics or equivalent combination of training and experience 

Skills: 
Excellent analytical, technical and problem-solving skills. Deep
understanding and experience with audio and speech processing. Strong
application programming skills in C/C++, Java, Python and Perl programming
languages. The successful candidate must be able to demonstrate these
skills with sample code written in these languages. Experience with
creating and administering relational databases (e.g., mySQL). Experience
with web-enabled interfaces and web services technology. Experience with
application server technology. Demonstrated ability to design and create
specifications for applications, and delegate and supervise the programming
of application components in collaboration with other team members
(students, contractors, etc.). Ability to work independently and as part of
a team. Experience or demonstrated knowledge of speech recognition toolkits
(e.g., HTK, Sphinx, KALDI, SRILM), acoustic analysis tools (e.g., Praat)
and understanding and experience with speech recognition and analysis
technology. 

Preferred skills and characteristics: 
Experience with natural language processing (NLP) techniques and toolkits
(e.g., NLTK). Experience with programming applications for iOS and Android
platforms. Familiarity with computerized or paper-and-pencil
neuropsychological testing. Data and network security understanding and
skills. 

Other: 
The successful candidate will be a self-motivated and proactive individual,
a good communicator, and occasionally be willing to work flexible hours
(nights and weekends) to meet inflexible deadlines. Participating in
research and experimentation leading to publications are not required but
would be highly encouraged and supported.  

If you are someone who has the necessary skills and thrives on working in
an exciting and dynamic research environment, please follow the application
instructions on this website and be sure to attach a letter stating your
interest and qualifications, your resume and the names of three individuals
to serve as references. We may also ask you to send us sample code and/or
links to applications you have developed.


Application Deadline:  (Open until filled)
	  
Web Address for Applications: http://employment.umn.edu/applicants/Central?quickFind=107078 
Contact Information:
	Dr. Serguei Pakhomov 
	Email: pakh0002 at umn.edu 





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