Postdoctoral fellow - Sound representation in complex environments

You are here

Top Reasons to Join SPS Today!

1. IEEE Signal Processing Magazine
2. Signal Processing Digital Library*
3. Inside Signal Processing Newsletter
4. SPS Resource Center
5. Career advancement & recognition
6. Discounts on conferences and publications
7. Professional networking
8. Communities for students, young professionals, and women
9. Volunteer opportunities
10. Coming soon! PDH/CEU credits
Click here to learn more.

Postdoctoral fellow - Sound representation in complex environments

Organization: 
Johns Hopkins University
Country of Position: 
United States
Contact Name: 
Mounya Elhilali
Subject Area: 
Speech and Language Processing
Audio and Acoustic Signal Processing
Start Date: 
20 May 2021
Expiration Date: 
31 December 2021
Position Description: 

A postdoctoral research position is available at Johns Hopkins University in the laboratory of Dr. Mounya Elhilali to investigate representation of complex sounds in both biological and artificial networks. The position is available immediately for two years, with possibility of renewal.

The ideal applicant will have a doctoral degree in computer science, electrical engineering, applied mathematics, neuroscience, psychology, hearing or brain sciences, with strong quantitative skills.

Johns Hopkins is an outstanding intellectual environment for medical and engineering research. The laboratory is affiliated with the department of Electrical and computer engineering as well as the Center for Speech & Language Processing and the Center for Hearing and Balance, and has strong research collaborations with the departments of Biomedical Engineering, Psychology and Brain Sciences, Computer Science, Mechanical Engineering as well as the schools of Medicine and Public Health.

Interested applicants should send a brief cover letter, a curriculum vitae with sample publications, and 2 reference contacts to mounya(at)jhu(dot)edu.

SPS Social Media

IEEE SPS Educational Resources

IEEE SPS Resource Center

IEEE SPS YouTube Channel