Postdoctoral Fellow-MSH-13400-375

Salary: $74,692

Department: Psychiatry

Physical work location: 1399 Park Ave. New York, NY 10029

Name PI or Supervisor: Shawn Rhoads

Web link to Lab: https://sinclaboratory.com

Web link to Department: https://icahn.mssm.edu/research/center-for-computational-psychiatry

Administrative Contact: Abigail Polanco, Abigail.polanco@mssm.edu

Educational and other Requirements for the position:

PhD in Psychology, Neuroscience, Computer Science, Cognitive Science, Electrical or Biomedical Engineering, or other related fields

• Evidence of high-impact peer-reviewed publications in any of the areas above

• Organizational, interpersonal, and communication skills

• Computational skills (e.g., prior coursework in mathematics, programming in Python, computational modeling)

• Strong interests in social computational neuroscience, behavioral economics, and/or computational psychiatry

Experience Required:

Experience with neural data collection and/or analysis (e.g., fMRI, intracranial EEG)

• Experience with computational modeling (e.g., Bayesian inference, reinforcement learning)

• Experience with large-online and/or in-person behavioral data collection

• Computer science/IT skills

Goals/Outcomes of the Research Project:

Collecting data for ongoing funded projects (e.g., DP5)

• Pilot data for lab grants (e.g., R01, R21)

• For completed studies, academic research papers reporting the findings

• SPOC-UAW Local 4100 at Icahn School of Medicine (Post Docs), 859 - Psychiatry

• ISM, Icahn School of Medicine

Details of Research Project:

The Postdoctoral Research Fellow will participate in various projects, including but not limited to the following topics:

• dyadic and multi-agent interactions

• social learning and decision-making

• social belief inference

• affective experiences

• socioemotional well-being

Technical Duties: (include any protocols)

Developing and running studies

• Developing computational cognitive models

• Programming in Python

• Running analyses on behavioral and/or neural data

• Writing results in publications