Job Announcement, March 2021: Lab Manager (Research Associate)

Haskins Laboratories, 300 George Street, Suite 900, New Haven CT 06511

Project Directors: Dr. Richard Aslin and Dr. David Lewkowicz

Qualified individuals are invited to apply for one (or possibly two) full-time Lab Manager (Research Associate) position(s) at Haskins Laboratories ( The successful candidate will join the Language-Learning and Multisensory Brain (LLAMB) lab of Professors Richard Aslin and David Lewkowicz (, which investigates the cognitive and neural bases of language learning and development using behavioral (eye-tracking) and neuroimaging (fMRI, EEG and fNIRS) techniques in typically developing infants, children and adults. Professor Aslin conducts research on statistical language learning (supported by NIH grant HD-037082, joint with Professor Elissa Newport at Georgetown), language processing (supported by NIH grant DC-017596, joint with Professor Bob McMurry at Iowa), and neural coding (supported by a Gates Foundation grant, joint with Professor Lauren Emberson at Princeton).  Professor Lewkowicz conducts research on auditory-visual integration in infants and children using eye-tracking measures (supported by NSF grant BCS-1946115) and covert attention using EEG frequency-tagging (supported by NIH grant HD-103931).


The successful candidate will work with Professors Aslin and Lewkowicz, their postdoctoral fellows, and other staff members to plan and execute data collection investigating the following questions:

1) Behavioral testing of attention to auditory-visual stimuli or of grammar learning. These experiments involve eye-tracking and web-based measures of attention to audio-visual speech/face stimuli in infants and children as well as in-person and on-line judgments of grammatical rules embedded in auditory or visual sequences obtained from children and adults. 

2) EEG signals during on-line spoken word recognition and covert attention. These experiments use arrays of 32-128 scalp electrodes to gather signals from adults, children, and infants as they listen to auditory and/or visual stimuli. 

3) fNIRS signals during natural viewing and statistical learning. These experiments use an optical imaging technique that samples a metabolic correlate of neural activity from infants, children, and adults as they listen to language or view natural visual scenes. 


In addition to data collection, the position involves subject recruitment (infants and children) via the Yale Baby School (, in collaboration with the Yale Child Study Center (Professor Linda Mayes) and the Yale Psychology Department (Professor Nicholas Turk-Browne).


Requirements include:

BA or BS in Psychology, Cognitive Science, Neuroscience or related field


Additional relevant skills include:

Experience with human research, particularly with infants or children

• Experience with eye-tracking devices (Eye-Link, Tobii)

Experience with neuroimaging techniques (EEG, fMRI, or fNIRS)

Experience with experimental presentation software packages (e.g., E-Prime, Presentation, PsychoPy)

• Experience with on-line data collection platforms (MTurk, Prolific, LookIt)

Experience with statistical analysis (e.g., SPSS, R, Matlab) 

Experience with data management software (e.g., FileMakerPro, REDCap, Qualtrics)


Interested applicants should contact Tammy Ursini, Administrative Coordinator () with a cover letter, resume, copy of (unofficial) transcripts, and the names of three potential references.  Please note “LLAMB Lab”, in the subject line of your email. Review of applications will begin on April 15 and the position will remain open until filled, with an anticipated start date of July 1, 2021 (a later start date is possible).  Compensation is commensurate with skills and experience.


Haskins Laboratories is a private, non-profit research institute with a primary focus on speech, language, reading, and their biological basis.  Haskins has long-standing, formal affiliations with Yale University and the University of Connecticut.  Haskins Laboratories is an Equal Opportunity Employer. 

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