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Cognitive Science Jobs in Texas (NOW HIRING)

LMR Technical Group

Cognitive Performance Specialist

TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Master's degree in Psychology, Counseling, Kinesiology, Exercise Science or Sport Science with a ... cognitive performance training in high-performance environments such as military, college ...

Hyperion Biotechnology

Cognitive Performance Specialist

TX · On-site

$68K - $75K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Army H2F Cognitive Performance Specialist Location: Fort Hood, TX Job Summary As a cognitive ... Apply the scientific method to find durable and demonstrable strategies that increase resilience.

Hyperion Biotechnology

$68K - $75K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Army H2F Cognitive Performance SpecialistLocation: Fort Hood, TXJob SummaryAs a cognitive ... Apply the scientific method to find durable and demonstrable strategies that increase resilience.

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Cognitive Science information

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$21.9K

$53.5K

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How much do cognitive science jobs pay per year?

As of Aug 18, 2026, the average yearly pay for cognitive science in Texas is $53,489.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,700.00 and $57,800.00 per year, depending on experience, location, and employer.

What is a cognitive science job?

A Cognitive Science job involves applying knowledge from psychology, neuroscience, artificial intelligence, philosophy, and linguistics to understand how humans and machines think, learn, and process information. Professionals in this field work in diverse industries, including technology, healthcare, research, and user experience design. Common roles include data scientist, UX researcher, AI specialist, and cognitive psychologist. These jobs often require analytical thinking, programming skills, and expertise in human behavior or machine learning.

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

To thrive in a Cognitive Science role, you need a solid grounding in psychology, neuroscience, computer science, linguistics, and data analysis, usually supported by at least a bachelor's or master's degree in a related field. Familiarity with statistical analysis software (such as SPSS or R), programming languages (like Python or MATLAB), and research tools is highly advantageous. Outstanding collaboration, critical thinking, and clear communication skills set top candidates apart in multidisciplinary teams. These skills and qualifications enable professionals to analyze complex cognitive processes and contribute innovative solutions to real-world human-computer interaction, AI, or behavioral research challenges.

What are the typical career progression opportunities for someone in a cognitive science role?

Professionals in cognitive science often start in research assistant, data analyst, or user experience roles and can progress to positions such as lead researcher, UX researcher, cognitive engineer, or even project manager depending on their interests and expertise. With experience and additional qualifications, some transition into roles in artificial intelligence, human-computer interaction, neurotechnology, or higher education as professors or principal investigators. Opportunities for advancement are often influenced by your ability to publish research, collaborate across disciplines, and acquire advanced degrees or certifications. Many cognitive science professionals also find pathways into related industries including technology, healthcare, and education, allowing for diverse and rewarding career trajectories.

Is cognitive science a useful degree?

Cognitive science is a versatile degree that prepares graduates for careers in research, technology, healthcare, and user experience design by combining psychology, neuroscience, computer science, and linguistics. It develops skills in critical thinking, data analysis, and problem-solving, which are valuable across many industries. Job opportunities often require interdisciplinary knowledge and may benefit from programming skills or familiarity with AI tools.

Is cognitive science in demand?

Cognitive science is a growing interdisciplinary field with increasing demand in areas such as artificial intelligence, human-computer interaction, and user experience design. Professionals with skills in data analysis, programming, and understanding of cognitive processes are sought after in research, technology, and healthcare sectors.

What does a cognitive scientist do?

A cognitive scientist studies mental processes such as perception, memory, language, and decision-making by analyzing how the brain and mind work. They often conduct experiments, develop models, and use tools like neuroimaging to understand human cognition, working in research, academia, or applied settings. Strong analytical skills and knowledge of psychology, neuroscience, and computer science are essential for this role.

What are the most commonly searched types of Cognitive Science jobs in Texas?

The most popular types of Cognitive Science jobs in Texas are:

What are popular job titles related to Cognitive Science jobs in Texas?

For Cognitive Science jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Cognitive Science jobs in Texas look for?

The top searched job categories for Cognitive Science jobs in Texas are:

What cities in Texas are hiring for Cognitive Science jobs?

Cities in Texas with the most Cognitive Science job openings:

Cognitive Science jobs near you
Infographic showing various Cognitive Science job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 18% Part Time, and 2% Contract. Highlights an 73% Physical, 4% Hybrid, and 23% Remote job distribution, with an average salary of $53,489 per year, or $25.7 per hour.

Assistant or Associate Professor - Computational Linguistics

The University of Texas at Austin

Austin, TX • On-site

Full-time

Re-posted 21 days ago

University Of Texas at Austin rating

8.3

Company rating: 8.3 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

126th of 618 rated colleges and universities

Job description

Description
The Department of Linguistics at The University of Texas at Austin invites applications for a position in computational linguistics to begin Fall of academic year 2026-27, at either the rank of tenure-track Assistant Professor or Associate Professor with tenure. We seek candidates whose work develops computational methods in any area of linguistics and specifically connects linguistics to artificial intelligence, with particular interest in candidates who can interface with any of our current major areas of research in syntax, semantics, pragmatics, sounds, psycholinguistics, cognitive science, language documentation, historical linguistics, sign language linguistics, or sociolinguistics. Duties will include research, service, and teaching linguistics courses at all levels (lower- and upper-division undergraduate, and graduate), and training the next generation of researchers working in AI, natural language processing and machine learning, and computational methods for language.
Qualifications
Applicants must have completed all the requirements for the PhD by time of appointment, or they must expect to obtain the PhD within a year of joining the faculty as Instructor. Degree must be in linguistics, computer science, cognitive science, or a related field.
Application Instructions
Applicants should upload a letter of application, a CV, a statement describing their research program, a statement of teaching interests (including a list of courses that the applicant would be prepared to teach), evidence of past teaching performance or teaching potential, three letters of recommendation, and three writing samples. The search committee will begin reviewing applications on November 15, 2025, and continue until the position is filled.
Salary is competitive and commensurate with experience and qualifications. Position funding is subject to budget availability.
For further information, please contact:
Prof. Kyle Mahowald, Search Committee Chair
Email:kyle@utexas.edu

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