Research Assistant application

The CALLA Lab (Cognitive Agility across the Lifespan via Learning and Attention) is seeking part-time Undergraduate Research Assistants under the supervision of Dr. Rachel Wu. Research assistants will participate in all aspects of projects on visual attention and learning in infants, children, young adults, and older adults. Successful candidates will learn to conduct studies using EEG, eye-tracking, and reaction time/accuracy measures.

The required time commitment is 2+ quarters for 6+ hours per week. Please indicate whether you are interested in receiving research credit.

Responsibilities:
1. Help running studies with infants, children, undergrads, and older adults
2. Scheduling participants for studies
3. Designing attention and learning studies
4. Analyzing EEG, eye-tracking, and behavioral data and discussing the results

Essential qualifications:
1. Demonstrates interest in cognitive science
2. Gets along well with other people
3. Demonstrates forward thinking to perform tasks independently and efficiently
4. Has excellent communication skills with young children and families
5. Detail-oriented, motivated, creative, and organized
6. 3.25+ GPA in psychology or related cognitive science fields
7. Experience with Word, Excel, and Powerpoint/Keynote
8. Successfully passes a background check

Preferred qualifications:
1. Able to write clearly for any audience
2. Experience with eye-tracking methods
3. Experience with SPSS, R, or other statistical software
4. Experience with Photoshop and Illustrator
5. Experience with Matlab

Please fill out and submit the form below and send the following to UCR.callalab@gmail.com:
1. CV
2. Contact information for two references

If your availability and experience fit with the lab's needs, we will contact you to schedule a meeting to provide you more information about the lab. If there are no positions available at this time, we will keep your information on file and contact you in the future. Please email UCR.callalab@gmail.com if you have any questions.

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    Personal information

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    Experience

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    SPSS/R
    Matlab
    MS Word
    MS Excel
    Powerpoint/Keynote
    Adobe Photoshop
    Adobe Illustrator
    EEG
    Mac OS X
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    Schedule

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