[CogSci] Postdoc on Creativity in Music and Language at Stony Brook University

[Mason Youngblood]

Deadline: November 15, 2024
Expected Duration: January 1, 2025 - August 31, 2026
Details and application:
https://stonybrooku.taleo.net/careersection/2/jobdetail.ftl?job=2403608

We invite applications for a postdoctoral associate to join an
interdisciplinary team at the Institute for Advanced Computational Science
(IACS) at Stony Brook University. The selected candidate will engage in
groundbreaking research focused on the mechanisms of human innovation,
exploring how novel ideas emerge, develop, and spread within different
contexts and systems. This work will involve a unique combination of
computational simulations (including agent-based models) and large-scale
experiments with human participants. The project will investigate
theoretical and empirical dimensions of creativity, bridging computational
and experimental approaches to better understand how creative processes
play out in different domains, particularly music and language.

The postdoctoral associate will collaborate with PIs across
departments—music, linguistics, computer science—and participate actively
in the human-centered computing working group at IACS. The successful
candidate will have access to Stony Brook’s cutting-edge SeaWulf
high-performance computing cluster. They will be expected to engage in
manuscript writing, conference presentations, and grant writing activities,
with mentorship opportunities available. They will also be encouraged to
participate in public outreach events to foster dialogue on creativity and
innovation within the broader community. There is no teaching obligation
associated with this position.

The ideal candidate will have a PhD (or foreign equivalent) in psychology,
cognitive science, linguistics, or a closely related field in hand by
January 1st, 2025. Applicants should demonstrate a strong record of
computational and/or experimental research on human cognition and behavior,
with proficiency in programming languages such as R, Python, Julia, or C++.
We are especially interested in candidates with experience in agent-based
modeling, machine learning, or running large-scale online experiments
(e.g., using Dallinger). The successful candidate will receive a
competitive salary and benefits. Applications will be reviewed on a rolling
basis, but to receive full consideration, materials should be submitted by
November 15th, 2024. The position will run for 20 months—from January 2025
through August 2026.

Please feel free to email Mason Youngblood (mason.youngblood at stonybrook.edu),
Margaret Schedel (margaret.schedel at stonybrook.edu), Jordan Kodner (
jordan.kodner at stonybrook.edu), or Owen Rambow (owen.rambow at stonybrook.edu)
for more information about the project.

-- 
Mason Youngblood, Ph.D.
Institute for Advanced Computational Science
Stony Brook University

masonyoungblood.com
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