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Postdoctoral Research Associate - Language Technologies Institute (LTI), SCS
Carnegie Mellon University in Pittsburgh, Pennsylvania
 
 
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Date Posted 12/09/2021
Category
Admin-Laboratory and Research
Employment Type FullTime
Application Deadline Open until filled
 
 
 
 
 

Carnegie Mellon’s School of Computer Science is widely recognized as one of the first and best computer science programs in the world. Our programs train the next generation of innovators to solve real-world problems and improve the way people live and work.
The Language Technologies Institute (LTI) at Carnegie Mellon educates the leaders of tomorrow and performs groundbreaking research. LTI faculty and students investigate more than 20 areas of language and information technologies, routinely producing breakthroughs that impact everything from education to healthcare.

The Language Technologies Institute within the School of Computer Science is seeking a Postdoctoral Research Associate. A Post Doc researcher in this position will conduct end-to-end speech recognition research based on deep learning working closely with our research stuff. We will develop novel techniques with the state-of-the-art performance, and publish a paper in top speech processing conferences and journals.

Core responsibilities will include:

  • Collect and analyze data, including periodical/literature search and utilizing specialized skills in related field to analyze the collected data.
  • Conduct research experiments within the predetermined research scope and methodology of department and university.
  • Lab maintenance, including equipment maintenance and ordering of supplies may be required depending on area and specialty.
  • Participate/assist in manuscript writing for publication in scientific journals and/or presentations.  May also assist in grant writing.
  • Other duties as assigned.

Qualifications:

Doctorate degree in Computer Science, Electrical Computer Engineering or related field required.
 

Good research record highly desired.

Good oral/written communication skills.
 

Intensive programming experience related to speech, audio, and language processing.
 

See https://shinjiwlab.github.io/positions/  for more information.

CMU’s COVID-19 Vaccination Requirements: As a condition of employment, Carnegie Mellon University requires all staff and faculty working in the United States to be fully vaccinated against COVID-19. Prior to commencement of employment, new hires in the United States must provide proof of vaccination or obtain an approved exemption. (Exemptions may be requested for medical reasons or for religious or strong moral or ethical conviction.) Those granted an exemption must comply with all applicable COVID-19 mitigation requirements, including use of facial coverings, daily self-assessment and weekly Tartan Testing.

Location

Pittsburgh, PA

Job Function

Pre/Post-Doctoral Associates & Fellows

Position Type

Postdoctoral Associate / Fellow (Fixed Term)

Full Time/Part time

Full time

Pay Basis

Salary

More Information: 

  • Please visit “Why Carnegie Mellon ” to learn more about becoming part of an institution inspiring innovations that change the world. 

  • Click here to view a listing of employee benefits

  • Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran

  • Statement of Assurance



Carnegie Mellon’s School of Computer Science is widely recognized as one of the first and best computer science programs in the world. Our programs train the next generation of innovators to solve real-world problems and improve the way people live and work.
The Language Technologies Institute (LTI) at Carnegie Mellon educates the leaders of tomorrow and performs groundbreaking research. LTI faculty and students investigate more than 20 areas of language and information technologies, routinely producing breakthroughs that impact everything from education to healthcare.

The Language Technologies Institute within the School of Computer Science is seeking a Postdoctoral Research Associate. A Post Doc researcher in this position will conduct end-to-end speech recognition research based on deep learning working closely with our research stuff. We will develop novel techniques with the state-of-the-art performance, and publish a paper in top speech processing conferences and journals.

Core responsibilities will include:

  • Collect and analyze data, including periodical/literature search and utilizing specialized skills in related field to analyze the collected data.
  • Conduct research experiments within the predetermined research scope and methodology of department and university.
  • Lab maintenance, including equipment maintenance and ordering of supplies may be required depending on area and specialty.
  • Participate/assist in manuscript writing for publication in scientific journals and/or presentations.  May also assist in grant writing.
  • Other duties as assigned.

Qualifications:

Doctorate degree in Computer Science, Electrical Computer Engineering or related field required.
 

Good research record highly desired.

Good oral/written communication skills.
 

Intensive programming experience related to speech, audio, and language processing.
 

See https://shinjiwlab.github.io/positions/  for more information.

CMU’s COVID-19 Vaccination Requirements: As a condition of employment, Carnegie Mellon University requires all staff and faculty working in the United States to be fully vaccinated against COVID-19. Prior to commencement of employment, new hires in the United States must provide proof of vaccination or obtain an approved exemption. (Exemptions may be requested for medical reasons or for religious or strong moral or ethical conviction.) Those granted an exemption must comply with all applicable COVID-19 mitigation requirements, including use of facial coverings, daily self-assessment and weekly Tartan Testing.

Location

Pittsburgh, PA

Job Function

Pre/Post-Doctoral Associates & Fellows

Position Type

Postdoctoral Associate / Fellow (Fixed Term)

Full Time/Part time

Full time

Pay Basis

Salary

More Information: 

  • Please visit “Why Carnegie Mellon ” to learn more about becoming part of an institution inspiring innovations that change the world. 

  • Click here to view a listing of employee benefits

  • Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran

  • Statement of Assurance


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