Postdoc Position on Task Representation in Virtual Reality

The Center for Data Science at New York University is looking to fill a fully-funded postdoctoral position to work on computational principles of task representation in virtual reality (VR). The project is part of a multi-lab effort to build goal representation and inference models for human-machine collaboration. The position will be primarily supervised by Drs. Angela Radulescu and Todd Gureckis at NYU.

About the position:
This funded position will include (1) developing and testing computational models of human gaze and behavioral data from rich, immersive VR environments; (2) designing and conducting novel experiments to probe how representations change under different tasks. We are particularly interested in candidates with expertise in computational cognitive modeling who are motivated to test theories in naturalistic settings.

The initial appointment will be for one year (with the potential to renew for a second year). We are looking to fill the position as early as January 2021. The start date is flexible (earlier is preferred).

Ph.D. in Cognitive Science, Psychology, Computer Science or a related field
Experience with computational modeling / cognitive models, such as reinforcement learning, Bayesian inference, and artificial neural networks
Experience gathering and analyzing data from different modalities
Excellent interpersonal and organizational skills
Experience developing behavioral experiments in VR (e.g. Unity)
A demonstrated commitment to building reproducible workflows for data collection and analysis

About the group:
The Computational Cognitive Science group at NYU brings together diverse labs across the university broadly interested in the computational principles of learning, thought, and intelligence. The PIs collaborating on this project, Drs. Todd Gureckis, Brenden Lake, and Angela Radulescu, are especially interested in how rich human behavioral data can bridge models of intelligence from cognitive science and AI. For more information, please visit

How to apply:
Please follow the steps at the following link:

Reviews of applications will begin immediately and continue until the position is filled. We are committed to increasing the number of individuals from diverse backgrounds, so we welcome and encourage applications from all qualified individuals.