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Computational Cognitive Science Jobs in Michigan

Linguistics Tutor

Ann Arbor, MI · Remote

$18 - $40/hr

... computational linguistics applications. * Conceptual Teaching & Problem-Solving: Skilled at ... cognitive science and education. * Effective Teaching Methods: Ability to identify concepts ...

Linguistics Tutor

Detroit, MI · Remote

$18 - $40/hr

... computational linguistics applications. * Conceptual Teaching & Problem-Solving: Skilled at ... cognitive science and education. * Effective Teaching Methods: Ability to identify concepts ...

Linguistics Tutor

Kalamazoo, MI · Remote

$18 - $40/hr

... computational linguistics applications. * Conceptual Teaching & Problem-Solving: Skilled at ... cognitive science and education. * Effective Teaching Methods: Ability to identify concepts ...

Computational Cognitive Science information

See Michigan salary details

$31.8K

$57.1K

$105.9K

How much do computational cognitive science jobs pay per year?

As of Jul 26, 2026, the average yearly pay for computational cognitive science in Michigan is $57,064.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $60,600.00 per year, depending on experience, location, and employer.

What jobs can I get with a cog sci degree?

A degree in computational cognitive science prepares individuals for roles such as cognitive scientist, user experience researcher, human factors specialist, data analyst, machine learning engineer, and AI researcher. These jobs often require skills in programming, data analysis, and understanding of human cognition, with employment opportunities in tech companies, research institutions, and healthcare. Certifications in programming languages or data analysis tools can enhance job prospects.

Is Cognitive Science a good career?

A career in cognitive science, including roles like computational cognitive scientist, involves interdisciplinary work combining psychology, neuroscience, and computer science. It offers opportunities in research, data analysis, and developing AI systems, often requiring strong analytical skills and familiarity with programming tools. Job prospects depend on education level and specialization, with growth in areas like artificial intelligence and human-computer interaction.

What are the most common challenges faced by professionals in Computational Cognitive Science roles?

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 job?

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 the Computational Cognitive Science position, and why are they important?

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 is a computational cognitive scientist?

A computational cognitive scientist studies how the mind processes information using computational models and simulations. They often work with data analysis, programming languages, and cognitive theories to understand perception, learning, and decision-making. This role typically requires knowledge of psychology, computer science, and mathematics.

What can you do with a computational science degree?

A computational cognitive science degree prepares individuals for roles such as data analyst, research scientist, machine learning engineer, or cognitive modeler. Graduates often work in academia, technology companies, healthcare, or research institutions, utilizing skills in programming, data analysis, and modeling to solve complex problems related to human cognition and artificial intelligence.
What are popular job titles related to Computational Cognitive Science jobs in Michigan? For Computational Cognitive Science jobs in Michigan, the most frequently searched job titles are:
Infographic showing various Computational Cognitive Science job openings in Michigan as of July 2026, with employment types broken down into 3% As Needed, 70% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $57,064 per year, or $27.4 per hour.
Computational Research Specialist

Computational Research Specialist

University of Michigan

Ann Arbor, MI • On-site

$39K - $49K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 11 days ago


University Of Michigan rating

8.1

Company rating: 8.1 out of 10

Based on 144 frontline employees who took The Breakroom Quiz

152nd of 611 rated colleges and universities


Job description

How to Apply
A detailed cover letter is required for consideration when applying for this position and should be uploaded via the UM Careers website as the first page(s) of a single, electronic document of application materials that also includes your CV or resume. The cover letter should address your specific interest in the position and outline your skills and experience that directly relate to the duties described below. The application is open immediately and will be accepted until the position is filled.
Who We Are
Dr. Shinobu Kitayama and the Culture and Cognition Lab in the Department of Psychology are seeking to hire a full-time Research Technician Intermediate (Computational Research Specialist).
The lab is currently expanding into computational cultural psychology, integrating cultural psychology with machine learning, large language models, network science, and agent-based modeling. The goal is to develop computational models that explain how cultural systems emerge, evolve, and shape cognition, motivation, and social behavior. Current projects examine cultural variation across global populations, the dynamics of cultural transmission, and the role of culture in health and well-being.
Job Summary
The person hired is expected to carry out two primary responsibilities. First, the person will contribute to computational research by developing and implementing computational models of cultural processes, including cultural transmission, social influence, network dynamics, and collective behavior, using approaches such as machine learning, large language models, network analysis, and agent-based modeling. Second, the person is also responsible for working with other lab members to organize activities of the culture and cognition lab. This current position is dedicated to an NSF-funded project on Sub-Saharan Africa, involving extensive analysis of data collected in multiple cultures, including countries in Sub-Saharan Africa, East Asia, Latin America, and North America.
The position provides an opportunity to work closely with faculty collaborators in psychology, engineering, computer science, and related fields at the University of Michigan while helping establish a new research program in computational cultural psychology. The position is particularly well suited for individuals considering future doctoral training in computational social science, computational psychology, cognitive science, or related fields. The successful candidate will also have opportunities to contribute to scientific publications and conference presentations arising from the research.
Responsibilities*
The main duties of this position will include the following:
Developing computational models and theory-driven simulations
  • Design, implement, and validate computational models of cultural transmission, social influence, and collective behavior using agent-based modeling and network-based simulation frameworks.
  • Develop machine learning and large language model (LLM)-based approaches to model cultural variation and predict psychological and behavioral outcomes from large-scale datasets.
  • Evaluate model performance through simulation experiments, parameter estimation, cross-validation, and sensitivity analyses while ensuring theoretical consistency with contemporary cultural psychological research.

Conducting computational analyses
  • Build and maintain reproducible computational pipelines for integrating and analyzing large, multi-national datasets.
  • Perform advanced statistical, network, and machine learning analyses using Python scientific computing libraries (NumPy, Pandas, SciPy, scikit-learn, PyTorch, or related tools).
  • Develop custom scripts and visualization tools for processing, analyzing, and interpreting complex behavioral, demographic, and text-based data.
  • Collaborate with faculty and graduate researchers to translate theoretical questions into computational analyses suitable for publication.

Supporting laboratory research and operations
  • Coordinate data management, quality control, documentation, and version control for computational research projects involving multiple international collaborators.
  • Assist with data collection, harmonization, and preprocessing across diverse cultural datasets.
  • Train and assist laboratory members in computational methods, software workflows, and reproducible research practices.
  • Participate in laboratory meetings, contribute to manuscript preparation, and help coordinate collaborative research activities.

Required Qualifications*
  • Bachelor's degree (Science, Cognitive Science, Psychology, Statistics, or related fields)
  • Strong programming experience in Python and/or MATLAB
  • Strong quantitative, computational, and detail-oriented problem-solving skills
  • Excellent organizational skills and demonstrated appreciation for cultural diversity

Desired Qualifications*
  • 1 - 2 years experience preferred.
  • Experience with agent-based modeling (e.g., Mesa, NetLogo, Repast, AnyLogic, or related frameworks)
  • Experience with large language models, natural language processing, or text analysis
  • Experience working with APIs, large datasets, and computational pipelines
  • Experience with Python scientific computing (NumPy, SciPy, Pandas, and machine learning frameworks (PyTorch, TensorFlow, scikit-learn)
  • Experience with network analysis, graph methods, simulation, and computational social science
  • Interested in social, cultural, or behavioral science applications

Why Work at Michigan?
In addition to a career filled with purpose and opportunity, the University of Michigan offers a comprehensive benefits package to help you stay well, protect yourself and your family and plan for a secure future. Benefits include:
  • Generous time off, including vacation time, sick time, holiday and season days
  • A retirement plan that provides two-for-one matching contributions with immediate vesting
  • Many choices for comprehensive health insurance
  • Life insurance
  • Long-term disability coverage
  • Flexible spending accounts for healthcare and dependent care expenses

In addition, LSA offers:
  • Strong commitment to work/life balance
  • Flexible work arrangements with respect to campus stakeholder needs
  • Enhanced tuition support programs for LSA courses

Being part of something greater, of serving a larger mission of discovery and care - that's the heart of what drives people to work at Michigan. In some way, great or small, every person here helps to advance this world-class institution. It's adding a purpose to your profession. Work at Michigan and become a victor for the greater good.
Modes of Work
Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes .
Additional Information
  • The salary range is $39,500 to $49,400. Please note a higher salary may be offered based on equity and the selected candidate's experience.
  • The starting date is August 2026, or as soon as the position is filled during the summer 2026.
  • This is a 12-month term-limited position with the possibility of renewal.
  • This position would give a great opportunity for someone planning a Ph.D. program in computational social science-an emerging area combining computational analysis with traditional social science research domains including cultural and social psychology.

As one of the world's great liberal arts and sciences colleges, LSA pushes the boundaries of what is understood about the human experience and the natural world, and we foster the next generation of rigorous and empathetic thinkers, creators, and contributors to the state of Michigan, the nation, and the world.
To learn more about LSA's Mission, Vision and Values, please visit lsa.umich.edu/strategicvision .
Background Screening
The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks. Background checks are performed in compliance with the Fair Credit Reporting Act.
Application Deadline
Job openings are posted for a minimum of seven calendar days. This job may be removed from the posting boards and filled any time after the minimum posting period has ended. The application portal will be open immediately (May 2026) and will remain open until the position is filled. Qualified candidates will be invited for interviews by research team members including the PI.
U-M EEO Statement
The University of Michigan is an Equal Opportunity Employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants, including protected veterans and individuals with disabilities.
Job Detail
Job Opening ID
280154
Working Title
Computational Research Specialist
Job Title
Research Technician Senior
Work Location
Ann Arbor Campus
Ann Arbor, MI
Modes of Work
Hybrid
Full/Part Time
Full-Time
Regular/Temporary
Regular
FLSA Status
Nonexempt
Organizational Group
College Of Lsa
Department
LSA Psychology
Posting Begin/End Date
7/15/2026 - 7/29/2026
Salary
$39,500.00 - $49,400.00
Career Interest
Research

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About University of Michigan

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The University of Michigan (U-M), based in Ann Arbor, MI, US, is one of America's most esteemed institutions in higher education. Established in 1817, it presides in the industry of education and research, providing a range of services including undergraduate, graduate, and professional education programs. Complementing this is an extensive research activity that has significantly contributed to various fields, from healthcare to engineering, humanities to sports. Upholding its mission "to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values", U-M consistently ranks among the top universities globally, a testament to its tradition of excellence in learning and research, and a deep commitment to innovation and discovery.

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