POST-DOCTORAL OPPORTUNITIES
We are currently recuiting postdocs. Please reach out if you are interested in postdoctoral opportunities with the lab to work on projects related to computational models of social interaction (e.g., Bayesian theory of mind, multi-agent reinforcement learning) and how they can be applied to topics in computational psychiatry (e.g., social anxiety, paranoid/delusional ideation, loneliness).
Interested applicants should have the following qualifications:
- Ph.D. in Cognitive Science, Computer Science, Psychology, Neuroscience, or a related field.
- Background/interest in computational cognitive modeling and statistics.
- Strong programming skills in JavaScript and Python for developing multi-participant, web-based experiments.
- Familiarity with experimental design for behavioral tasks and data collection from human participants.
- Demonstrated ability to successfully lead research projects to completion and work collaboratively.
We will begin reviewing applications on a rolling basis until the role is filled. To apply, please upload a cover letter and CV this form.
GRADUATE OPPORTUNITIES
There are several ways to join the lab as a graduate student. We are currently accepting students from the following programs:
- PhD in Neuroscience
- PhD in Biomedical Sciences - Artificial Intelligence and Emerging Technologies in Medicine (AIET) concentration
- Master of Science in Biomedical Data Science and AI
We also welcome visiting PhD students who are looking to supplement their training. Many programs encourage or allow students to spend time in a different lab to gain experience with new approaches and experimental paradigms. Our lab will consider visiting PhD students on a rolling basis for those able to commit at least 6-12 months, particularly trainees excited about computational models of social interactions and related research questions in the lab.
We also invite applications for volunteer Master’s students positions. We are seeking motivated first-year Master’s students enrolled full-time at a New York City institution who are passionate about understanding social connection and interaction. To apply, please complete this application
POST-BACCALAUREATE OPPORTUNITIES
The Social Interaction & Neural Computation Lab (PI: Shawn Rhoads) at Mount Sinai School of Medicine (New York, NY) is recruiting a full-time research coordinator to start in early 2026 (start date flexible). The Research Coordinator will be a critical member of the research team and will be responsible for carrying out day-to-day research operations under the supervision of the Principal Investigator. This opportunity is ideal for individuals who would like to pursue a PhD in computational social neuroscience and/or computational psychiatry.
We will begin reviewing applications on a rolling basis until the role is filled. To apply, please upload a cover letter and CV this form.
The Research Coordinator will participate in various projects, including but not limited to the following topics:
- the neural and computational basis of loneliness
- dyadic and multi-agent interactions
- social learning and decision-making
- social belief inference
- affective experiences
Primary responsibilities include:
- Assisting in clinical research activities for behavioral and neuroimaging studies, including human participant recruitment, obtaining informed consent, screening for eligibility, registering participants with sponsoring agencies, administering questionnaires, collecting data, and answering phone calls
- Managing IRB protocols
- Organizing and schedules lab meetings
- Ordering supplies/equipment
- Coordinating outreach and social events
- Training and supervising research assistants
- Programming and testing experimental paradigms (PsychoPy/Pavlovia, jsPsych)
- Analyzing data and contributing to conference presentations and peer-reviewed publications
- Supporting lab IT infrastructure and data management protocol (archiving, sharing)
Qualifications:
- Bachelor’s degree in Psychology, Neuroscience, Cognitive Science, Computer Science, Electrical or Biomedical Engineering, or related fields
- Prior research experience in any of the areas above
- Organizational, interpersonal, and communication skills
- Interests in social computational neuroscience, behavioral economics, and/or computational psychiatry
- Interests in ecological momentary assessment, computational modeling, neuroimaging, intracranial electrophysiology, hyperscanning
Preferred qualifications:
- Experience with neural data collection and/or analysis (e.g., fMRI, stereo EEG)
- Experience with large-online and/or in-person behavioral data collection
- Computational skills (e.g., prior coursework in mathematics, programming in Python)
- Computer science/IT skills
Undergraduate Opportunities
We invite applications for volunteer Undergraduate Research Assistant positions. We are seeking motivated first and second-year undergraduates enrolled full-time at a New York City institution who are passionate about understanding social connection and interaction and interested in pursuing a Ph.D. in cognitive neuroscience, cognitive science, social psychology, computational psychiatry, or related fields. If you are interested in contributing to our research, please complete this form. Available RA roles are detailed below:
- Research Assistant in Experimental Design: Contributes to the development of recruitment materials, IRB protocols, and experimental paradigms. May also assist with data collection. Ideal candidates will have a strong in computer science, app design, software engineering, and/or user experience.
- Research Assistant in Data Processing: Focuses on writing code for data organization, cleaning, and processing. May also assist with data analysis. Ideal candidates will have a strong background in math, statistics, and/or computer science and strong interest in data science and analytics.
- Research Assistant in Public Outreach & Communications: Supports community partnerships, communicates research to the public, and writes newsletters. Ideal candidates will have a strong interest in science communication.
To apply, please complete this application