Postdoctoral Associate – Human Auditory and Computational Models

Overview

Job Title: Postdoctoral Associate – Human Auditory and Computational Models

Job Number: 114988

Location: storrs,US

Job Description

The University of Connecticut seeks applicants for a postdoctoral position in systems and computational neuroscience in the area of misophonia.

We are seeking highly motivated and creative applicants who can lead a project on Misophonia, a psychological and behavioral disorder in which individuals experience adverse emotional reactions to specific sounds ("auditory triggers"). The broad project goal is to develop computational models of hearing and perception that are fitted to human perceptual measurements and that can be used to characterize and diagnose misophonia.

The models will also be used to develop sound processing tools to remove and de-emphasize auditory triggers (e.g., with headphones) and improve participant outcomes. The project will use a variety of approaches, including human perceptual experiments, machine learning, digital signal processing, and computational models of hearing. The work will be conducted in collaboration with the Behavioral Neuroscience program in the Psychological Sciences department and with the Electrical and Computer Engineering/Biomedical Engineering departments at the University of Connecticut and the Connecticut Institute for Brain and Cognitive Sciences.

The primary appointment is in Biomedical Engineering and/or Electrical Engineering.

• APhD in Neuroscience, Biomedical Engineering, Computational Neuroscience, or a related field is required.
• Experience with human or animal behavior experimental design, data analysis, and/or modeling.

• Previous experience, education, or general proven knowledge in hearing or speech and language sciences.
• Interdisciplinary research experience in computational and systems neuroscience with prior research experience in human behavior, animal behavior and/or brain physiology.
• A strong analytic background, particularly in modeling neural systems and analyzing large datasets.
• Experience with acoustic signal processing, sound recognition, and machine learning.

This is a full-time, 12-month position funded through the Misophonia Research Fund on a yearly basis with possibility of renewal. Salaries follow the NIH post-doctoral scale and are based on experience.

Employment of the successful candidate is contingent upon the successful completion of a pre-employment criminal background check.

Please apply online at the university staff portal to upload a single PDF file containing:

• a resume (including past research experience and published work),
• a one-page statement of prior research experience,
• a one-page statement of future research interests and objectives, and
• the names and contact information of at least two individuals who can provide reference letters.

Final date to receive applications: