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Vivum AI

Computational Neuroethologist

Bloomington, IN · On-site

Required : • Strong background in neuroethology • Strong background in cognitive science • Strong background in computational modeling Company : The Biological Intelligence Company for Scalable ...

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How much do computational cognitive science jobs pay per year?

As of Aug 30, 2026, the average yearly pay for computational cognitive science in the United States is $65,470.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,500.00 and $69,500.00 per year, depending on experience, location, and employer.

What is a computational cognitive science?

A Computational Cognitive Science job involves using computational models, artificial intelligence, and data analysis to study human cognition, including learning, reasoning, perception, and decision-making. Professionals in this field work at the intersection of cognitive psychology, neuroscience, and computer science to develop simulations and algorithms that mimic human thought processes. They may apply their expertise in academia, tech companies, healthcare, or AI research, contributing to advancements in human-computer interaction, machine learning, and cognitive system design.

What are the key skills and qualifications needed to thrive in computational cognitive science?

To thrive in Computational Cognitive Science, a strong background in cognitive psychology, computer science, and mathematics—often supported by a relevant advanced degree—is essential. Experience with data analysis software (such as Python, R, or MATLAB), machine learning libraries, and experimental design tools is typically expected. Critical thinking, interdisciplinary collaboration, and effective communication are crucial soft skills for success in this field. These abilities enable professionals to design robust experiments, analyze complex data, and translate insights into impactful research or product developments.

What are the most common challenges faced by professionals in computational cognitive science?

One of the main challenges in Computational Cognitive Science is integrating knowledge from multiple disciplines such as psychology, neuroscience, and computer science to build and validate complex models of human cognition. Professionals often have to balance rigorous experimental design with advanced computational techniques, all while staying current with rapidly evolving technologies and research findings. Collaboration with diverse teams—including software engineers, data scientists, and behavioral researchers—is common and may require adjusting communication styles to bridge knowledge gaps. Successfully navigating these challenges can make a significant impact in both academic and industry settings, leading to advancements in artificial intelligence, user experience design, and human-computer interaction.

Is computational cognitive science a good career?

Computational cognitive science is a multidisciplinary field combining psychology, computer science, and neuroscience, with careers involving research, data analysis, and developing models of human cognition. Job prospects are strong in academia, industry, and technology sectors, especially for those skilled in programming, machine learning, and statistical analysis. The field often requires advanced degrees such as a master's or Ph.D. and familiarity with tools like Python, MATLAB, or R.

What kind of jobs can I get with a computational cognitive science degree?

A degree in computational cognitive science prepares individuals for roles such as cognitive scientist, data analyst, machine learning engineer, human factors specialist, or research scientist. These jobs often involve analyzing human behavior, developing AI models, designing user interfaces, or conducting experiments, and typically require skills in programming, statistics, and cognitive modeling.
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Computational Cognitive Science jobs near you
Infographic showing various Computational Cognitive Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 75% Physical, 3% Hybrid, and 22% Remote job distribution, with an average salary of $65,470 per year, or $31.5 per hour.

Post Doctoral Associate

Pittsburgh, PA

University of Pittsburgh
Colleges, Universities, and Professional Schools • 10K+ employees
Learn more about University of Pittsburghexternal

$47K - $64K/yr

Full-time

Re-posted 20 days ago

Job description

The Runyan Lab (runyanlab.org) in the Department of Neuroscience at the University of Pittsburgh invites applications for a postdoctoral associate in systems neuroscience. Our research is focused on determining the local circuit computations in the cerebral cortex, and how these are reshaped by internal states. A new research direction involves a collaboration with Josh Tenenbaum (MIT) to apply cognitive science models to neural activity in mice performing probabilistic inference tasks. As part of this project, the candidate will have the opportunity to learn computational cognitive modeling methods at MIT with the Tenenbaum group. Applicants must have a background in systems neuroscience with a PhD in neuroscience. The ideal candidate has experience in rodent physiology (either two-photon calcium imaging or large-scale electrophysiology), and behavior with possible interest in adding two-photon optogenetics and projection tracing.

The Department of Neuroscience is part of a highly collaborative systems and computational neuroscience community situated on the Oakland campus of the University of Pittsburgh, and we are also affiliated with the Center for the Neural Basis of Cognition (https://www.cnbc.cmu.edu). Pittsburgh is a city that is often voted "most livable" in the nation. Further information about the Department of Neuroscience is available at: http://www.neuroscience.pitt.edu.

The University of Pittsburgh is an equal opportunity employer.

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