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Computational Cognitive Science Jobs (NOW HIRING)

Rutgers University

Postdoctoral Associate

Piscataway, NJ · On-site

$20K/wk

... cognitive modeling of behavioral data, including linking these data to clinical outcomes. * Take a lead role in communicating the results of neuroimaging and computational studies through scientific ...

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How much do computational cognitive science jobs pay per year?

As of Aug 10, 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 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.

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.

Is computational cognitive science a good career?

Computational cognitive science is a multidisciplinary field that combines psychology, computer science, and neuroscience to study mental processes using computational models. Careers in this area often involve research, data analysis, and programming skills, with job opportunities in academia, industry, and research institutions. The field offers growth potential for those with strong analytical and technical skills, and it typically requires advanced degrees such as a master's or Ph.D.

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, user experience researcher, and artificial intelligence specialist. These jobs often involve skills in programming, data analysis, modeling, and understanding human cognition, typically requiring familiarity with tools like Python, MATLAB, or R.
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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 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $65,470 per year, or $31.5 per hour.

Applied Perception Scientist

PROLIM Global Corporation

Redmond, WA • On-site

Full-time

Posted 29 days ago

Job description

Reality Labs Research at Meta is a leading research organization of world-class researchers, developers, and engineers, who collaborate to actively create a future where virtual and augmented reality become as indispensable as today's smartphones and personal computers.
The mission of the Reality Labs Research Audio team is to engineer augmented audio that redefines human hearing capabilities. This will allow us to connect people by facilitating conversation in even the most challenging auditory environment.
We are seeking a contract applied research scientist specializing in the perception of tonal languages. This role is an integral part of our team, contributing to our research and development efforts. The ideal candidate will help us explore and understand individualized audio quality preferences and experiences, enabling us to tailor our technologies to meet unique user needs.
Responsibilities
  • Oversee and drive research projects on speech quality, statistically analyze results and report findings.
  • Monitor problems, facilitate resolution, and proactively keep projects on track.
  • Implement and conduct pilot listening tests and other perceptual experiences.
  • Regularly report on project progress, dependencies and risks to stakeholders.
  • Support research scientists and engineers within the team.
  • Manage procurement projects for equipment and vendor services.
  • Willingness to "roll up sleeves" and take on operational tasks in support of the team's goals.

Minimum Qualifications
  • Interpersonal and communication skills, with strong attention to detail.
  • Proactive with ability to execute on multiple projects simultaneously.
  • Strong organizational and time management skills.
  • Track record of communicating research on speech perception, hearing sciences or auditory perception in an academic or industrial setting.
  • Experience with data collection with human participants.
  • Experience working in a fast-paced research and/or product development environment.
  • Experience with scientific programming languages such as Matlab, Python, C++, or R.
  • Master's degree or equivalent experience in Computational Neuroscience, Cognitive Science, Electrical Engineering, Perception, Experimental Psychology, Audio Engineering, Acoustics, Computer Science, Computer Engineering, Biomedical Engineering, Computational Audiology or a related field.

Preferred Qualifications
  • Experience with tonal languages.
  • PhD degree or equivalent experience.
  • Experience with AI generative speech.
  • Experience with modeling audio quality.

Candidate Requirements
Must-Have Skills
  1. Experience with statistical analysis of behavioral data (e.g., mixed-effects models, signal detection theory, psychometric methods).
  2. Work experience in perceptual or psychophysical research with a track record of successful project completion.
  3. Experience with scientific programming languages such as Python, MATLAB, R, or C++.

Nice-to-Have Skills
  1. Advanced Education: PhD degree or equivalent experience.
  2. AI Experience: Experience with AI generative speech.
  3. Audio Modeling: Experience with modeling audio quality.

Ideal Candidate:
looking for someone with extensive academic experience: the ideal candidate is a card-carrying perception scientist (typically: cognitive science, neuroscience, neural engineering) who has personally designed and ran lots of perception studies and who has at least dabbled in computational models of perception. Someone who is currently a postdoc, a professor or a senior PhD student.

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