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Postdoctoral Position in Human Auditory Perception and Computational Models of Hearing
The laboratories of Dr. Monty Escabi (http://escabilab.uconn.edu) and Dr. Ian Stevenson (https://stevenson.lab.uconn.edu) at the University of Connecticut are seeking
applicants for a postdoctoral position in auditory and computational neuroscience.
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 personalized computational models of hearing and perception that are fitted to human perceptual measurements and that can be used to characterize and diagnose misophonia. The personalized auditory 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 employs a variety of approaches, including human perceptual experiments, machine learning, digital signal processing, and computational
models of hearing.
UConn has a vibrant neuroscience community and there are opportunities for collaboration between departments, institutes, and Universities
involved in the project. The primary appointment is in Biomedical Engineering and/or Electrical Engineering. The work will be conducted in collaboration with the Behavioral Neuroscience program in the Psychological Sciences department (Ian Stevenson), the
Electrical and Computer Engineering/Biomedical Engineering departments at the University of Connecticut (Monty Escabí), and the Connecticut Institute for Brain and Cognitive Sciences.
QUALIFICATIONS: A PhD in Neuroscience, Biomedical Engineering, Electrical Engineering, Computational Neuroscience, or a related field is required. The ideal candidate will have an interdisciplinary research background in computational and/or systems neuroscience
with prior research experience in human behavior, animal behavior and/or brain physiology. A strong analytic background in neural data analysis is desirable, particularly modeling neural systems and analyzing large-scale datasets. Experience with acoustic
signal processing, sound recognition, and machine learning is also desirable.
Appointment: This is a full-time appointment, funded through the Misophonia Research Fund on a yearly basis. The initial appointment is for a one-year, with additional years of funding possible upon satisfactory performance.
TO APPLY: Please apply online at https://hr.uconn.edu/jobs, Staff Positions, Search #499299, and 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.
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(' O-O ') ---------------------------ooO-(_)-Ooo-------------- Monty A. Escabi, Ph.D. Professor University of Connecticut Electrical & Computer Engineering Biomedical Engineering
Psychological Sciences
371 Fairfield Way, Unit 4157
Storrs, CT 06269-4157 http://escabilab.uconn.edu ---------------------------------------------------------- |