[Eeglablist] EEG Processing postdoc for Baby's First Years project

[Troller-Renfree, Sonya]

*Baby’s First Years – Post Doctoral Research Scholar*

The Baby’s First Years study <https://urldefense.com/v3/__https://www.babysfirstyears.com/__;!!Mih3wA!ASmGSjks7hlIl7EYGP9jERhx48bZMh6uAaUUJlP-e6xry4lZI_kdD5a4XFbEE2a-DjUqthl2iZLCRfdTD6D05V1wmmfj$ > is seeking
a postdoctoral scholar with expertise in the collection and analysis of EEG
data.

*Position Length:* 2 years

*Study Description:*

The Baby’s First Years study <https://urldefense.com/v3/__https://www.babysfirstyears.com/__;!!Mih3wA!ASmGSjks7hlIl7EYGP9jERhx48bZMh6uAaUUJlP-e6xry4lZI_kdD5a4XFbEE2a-DjUqthl2iZLCRfdTD6D05V1wmmfj$ > is a
pathbreaking random-assignment study of the impact of monthly unconditional
cash gifts to low-income mothers of infants during the first three years of
their child’s life. The aim is to understand the causal effects of poverty
reduction on family life and early childhood development in order to inform
policy. The study recruited 1,000 racially and ethnically diverse mothers
from hospitals shortly after giving birth in each of four metropolitan
areas —New York City, New Orleans, St. Paul, Minnesota, and Omaha,
Nebraska. Forty percent of the mothers in each site were randomized to
receive $333/month and sixty percent receive $20/month on reloadable debit
cards..



To date, participating families have completed research sessions in their
homes when children were 1, 2, 3, and 4 years of age and in their homes, on
the phone, and at local university labs when children. Data collected
includes surveys about economic and employment, child care, family
routines, mother’s mental and physical health, and well-being; maternal and
children’s hair cortisol, epigenetics, child EEG measures of brain activity
at age 1 (in the home) and age 4 (in the lab), and a full battery of child
cognitive and behavioral assessments at age 4.  Planning for future
lab-based data collection is currently underway for the Age 6 and 8
assessments.





*Position Description:*

The Post-Doctoral Scholar will be co-mentored by Drs. Kimberly Noble and
Sonya Troller-Renfree at Teachers College, Columbia University. This person
will assist the Baby’s First Years team with the collection and analysis of
EEG data as well as assisting with data scoring, cleaning, and analysis.
Core responsibilities include:

(1)    Monitor EEG data quality and provide personalized data collection
support to field-based interviewers across all study sites age 6 visit.
(~20% of position)

(2)    Complete Age 4 and 6 EEG data processing and analysis using EEGLAB,
MATLAB, and MADE. Including public deposition of EEG data in BIDS format.
(~55% of position)

(3)    Assist with the programming, data monitoring, cleaning, and analysis
for lab-based behavioral and cognitive tasks. (~15% of position)



(4)    Assist with conference/manuscript preparation (~10% of position).

The Post-Doctoral Scholar candidate must:


   - have received a PhD in child development, neuroscience, psychology or
   a related field within the past 5 years.
   - have expert-level knowledge of resting and task-related EEG data
   utilizing MATLAB and EEGLAB
   - have expertise in large-scale EEG data collection analysis
   - have strong quantitative and statistical research skills


   - be extremely detail-oriented, adept at multi-tasking and have strong
   organizational skills

·       have excellent written and interpersonal communication skills



Preferred Qualifications:

   - experience working closely with infants and young families
   - experience with REDCap, python, and STATA
   - experience with experimental (randomized) study designs



If you are interested in the position, please submit a cover, CV, and list
of 3 references to svt2110 at tc.columbia.edu. Applications will be reviewed
as received. Shortlisted candidates will be contacted for interviews.







-- 

Sonya V. Troller-Renfree, PhD
Assistant Professor
Teachers College, Columbia University
<troller-renfree at tc.columbia.edu>troller-renfree at tc.columbia.edu || *Phone:*
(212) 678-3685
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