UCLA’s Social and Affective Neuroscience Lab

UCLA’s Social and Affective Neuroscience Lab (PI: Naomi Eisenberger) is looking for a research assistant/data analyst. Our lab examines how the brain processes social and affective experiences, such as social rejection and connection, as well as how those experiences translate into physiological responses that link with health outcomes.

 

We are currently looking for someone with experience running subjects as well as analyzing neuroimaging data. For this position, responsibilities will include assisting in all stages of data collection, including: recruitment and screening of research participants; programming computer tasks for scanning subjects (if possible); and collection of self-report, physiological, and neuroimaging data. Responsibilities will also include assisting with data management and analysis, including: entering data; transferring neuroimaging data; preprocessing neuroimaging data; and running neuroimaging analyses (in consultation with Dr. Eisenberger). There will also be opportunities to present at conferences and contribute to papers. Because most projects involve working with other members of the lab, we are looking for someone with strong communication and interpersonal skills, who can work well both independently and with others. In addition, the person hired will receive additional training from both the PI and relevant graduate students in various aspects of the research process. Hence, this kind of position is ideal for those interested in ultimately going to graduate school. For additional information about the lab, see http://sanlab.psych.ucla.edu/.

 

Start date: Immediate. One-year commitment is required.

 

Background: Research experience; BA or BS in Psychology, Cognitive Neuroscience, Neuroscience, Computer Science, Cognitive Science or a related field (strong applications from candidates with other backgrounds will be considered). Excellent organizational skills. Research experience in an fMRI lab, specifically running subjects, imaging analysis. Programming experience (e.g., MATLAB) is a plus.

 

To apply, please submit your CV/resume with relevant work experience, a description of computer, imaging, and technical skills, and the names of 3 references to: scnlab@mac.com.