Postdoc: EEG + ML for Binaural Hearing

University of Washington; Seattle (WA); On-site; USD 62,000 - 75,000; Full time

Job summary

The University of Washington is inviting applications for a Postdoctoral Scholar position focused on EEG, machine learning, and binaural hearing. The role centers on developing multimodal predictive models from neural and behavioral data in infants and children with typical and hard-of-hearing profiles.

Ideally, you will bring EEG proficiency, programming and ML experience, and a keen interest in developmental neuroscience.

Qualifications

• PhD in neuroscience, speech and hearing sciences, engineering, or a related field.
• Expertise in EEG acquisition, signal processing, and data analysis.
• Proficiency in programming.
• Experience with machine learning, especially with EEG applications.
• Experience in auditory research, especially related to hearing aids, binaural hearing, or related domains.
• Strong communication skills and ability to collaborate effectively in a multidisciplinary team.

Skills

EEG acquisition

Signal processing

Data analysis

Programming

Machine learning

Auditory research

Communication skills

Education

PhD

Job description

The University of Washington is inviting applications for a Postdoctoral Scholar position focused on EEG, machine learning, and binaural hearing. The role centers on developing multimodal predictive models from neural and behavioral data in infants and children with typical and hard-of-hearing profiles.

Ideally, you will bring EEG proficiency, programming and ML experience, and a keen interest in developmental neuroscience.