hero

Find Your Dream Job Today

Postdoctoral Associate (Social Cognition and Computational Psychiatry)

New York University

New York University

New York, NY, USA
USD 62,500-90k / year
Posted on Apr 3, 2025

New York University: NYU - NY: Arts and Science (A&S): Psychology Department

Location

New York, NY

Open Date

Apr 01, 2025

Description

The Computation and Decision-Making Lab at New York University (PI: Mark Ho) and Social Interaction and Neural Computation Lab at the Icahn School of Medicine at Mount Sinai (PI: Shawn Rhoads) are seeking a highly motivated and talented Postdoctoral Associate. The Postdoctoral Associate will be based at NYU and involved in collaborations across the two institutions. This is an exciting opportunity for individuals with a strong interest in 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).

Key responsibilities:

Lead cutting-edge research projects focused on developing novel computational techniques for analyzing behavioral and neural data from participants solving social dilemmas.

Collaborate closely with the PIs and lab members.

Conduct and publish high-impact research in top-tier journals and conferences.

What We Offer:

A dynamic and collaborative research environment at NYU, a leading institution in computational cognitive science.

Mentorship and professional development opportunities under the guidance of PIs Mark Ho and Shawn Rhoads.

Access to state-of-the-art research facilities and resources at NYU and Mount Sinai.

A supportive network and a stimulating intellectual environment at NYU and Mount Sinai.

In compliance with NYC’s Pay Transparency Act, the annual base salary range for this position is $62,500-$90,000. New York University considers factors such as (but not limited to) the specific grant funding and the terms of the research grant when extending an offer.

Qualifications

Ph.D. in Cognitive Science, Computer Science, Psychology, Neuroscience, or a related field.

Strong background 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 lead research projects and work collaboratively.

Application Instructions

Please apply with your CV, 2-4 references, and a cover letter describing (1) why you are interested in this position and (2) any relevant skills.