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ISCApad Archive  »  2020  »  ISCApad #259  »  Jobs  »  (2019-12-05) ​Postdoctoral Fellowship,University of Connecticut Health,Farmington, CT, USA

ISCApad #259

Friday, January 10, 2020 by Chris Wellekens

6-53 (2019-12-05) ​Postdoctoral Fellowship,University of Connecticut Health,Farmington, CT, USA
  

Postdoctoral Fellowship, Speech Processing in Noise

University of Connecticut Health

Location: Farmington, CT

Start Date: January 2020, or thereafter

Duration: Initially 1 year with potential for extension

Salary: Depends on experience, based on NIH range: benefits include health care, retirement

contributions, and paid leave for vacation, personal days, holidays and sickness.

Application Process: Please send your resumé, a one-page cover letter that describes your

research interests and experience, a list of publications (copies of most relevant - optional), and

contact information for three references to Dr Insoo Kim (ikim@uchc.edu).

A Postdoctoral Fellowship is available in the Division of Occupational Medicine, Department of

Medicine, at the University of Connecticut Health to investigate algorithms for improving speech

intelligibility in environmental noise. The work will involve simulating the noise of machines from

known frequency spectra and creating speech-in-noise test files using MATLAB for replaying to

subjects in listening tests. The test files may be processed electronically to improve intelligibility

before the psychoacoustic testing. The position requires knowledge of, and practical

experience with, speech or audio digital signal processing; proficiency with MATLAB and

Simulink simulations, and; familiarity with psychoacoustic testing of speech intelligibility in noise,

and with the development of embedded systems or digital signal processors.

The Fellow will participate in on-going research projects involving speech processing. He/she

will be responsible for implementing the algorithms for improving speech communication in

noise, conducting all psychoacoustic tests used to establish proof-of-concept, and data analysis

and interpretation. The Fellow will also have opportunities to supervise graduate and

undergraduate students.

Candidates should have good oral and written English communication skills, be capable of

independent work as a part of a multi-disciplinary team, be able to work on multiple projects at

the same time, publish results in academic journals and participate in grant proposal

preparation. They should have a Ph.D. degree in Acoustics, Electrical, Computer, Biomedical

Engineering, or a related field with appropriate experience. The initial appointment is for a

period of one year with potential for further extension. The review of applications will start

immediately and will continue until the position is filled.


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