[FieldTrip] POSTDOCTORAL POSITIONS: Brain-Based Diagnosis of Hearing Dysfunction

[Lee Miller]

POSTDOCTORAL POSITIONS: BRAIN-BASED DIAGNOSIS OF HEARING DYSFUNCTION

The Miller Lab at the UC Davis Center for Mind & Brain invites 
applications for two postdoc positions on a multi-year, translational 
project bridging auditory cognitive neuroscience and hearing loss. The 
research addresses speech perception in dynamic, cluttered scenes using 
a novel EEG-based approach that characterizes listening across multiple 
auditory, linguistic, and cognitive levels of processing. By studying a 
large, age-diverse cohort of Veterans in the lab and the clinic, the 
research has great potential to inform both the basic neuroscience and 
the practical treatment of common noise- and age-related hearing 
dysfunctions.

Necessary background and skills include:
* substantial EEG experience
* strong programming skills in Matlab (e.g. Fieldtrip, EEGLAB)
* general aptitude with time series analyses
* good quantitative skills including statistics
* strong scientific writing, and a record of first-authored publications
* enthusiasm and ability to work closely on an interdisciplinary team

Desirable skills include:
* an understanding of speech perception and attention in a 
quasi-naturalistic setting
* experience with pupillometry
* experience with machine learning / classification
* some familiarity with clinical audiology

The UC Davis Center for Mind & Brain is a premier research institute 
with a lively and supportive community of appx. 200 students, staff, and 
faculty. It provides outstanding opportunities for training and 
collaboration among world experts in language, attention, and EEG methods.

Salary is consonant with postdoctoral experience and substantially 
exceeds the NIH scale, as per UC Davis policy.

Position will remain open until filled, but to ensure consideration 
please apply by APRIL 1, 2021. Application materials should include a 
brief cover letter, CV, and contact details for at least two referees. 
These should be sent as a single PDF file to Prof. Lee M. Miller at 
millerlab51 at gmail.com.
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