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Cognitive Science Phd Jobs in Texas (NOW HIRING)

Secretariat

Manager, Human Factors

Dallas, TX · On-site

ABOUT OUR ENGINEERING SCIENCES TEAM As part of our expanding Global Engineering and Scientific ... Master's or PhD degree in Experimental, Industrial or Cognitive Psychology, Industrial Engineering ...

Socket.dev

Director, Human Factors

Dallas, TX · On-site

$120 - $190/hr

ABOUT OUR ENGINEERING SCIENCES TEAM As part of our expanding Global Engineering and Scientific ... Master's or PhD degree in Experimental, Industrial or Cognitive Psychology, Industrial Engineering ...

Secretariat

Manager, Human Factors

Dallas, TX · On-site

ABOUT OUR ENGINEERING SCIENCES TEAM As part of our expanding Global Engineering and Scientific ... Master's or PhD degree in Experimental, Industrial or Cognitive Psychology, Industrial Engineering ...

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All JobsCognitive Science Phd JobsCognitive Science Phd Jobs in Texas

Cognitive Science Phd information

See Texas salary details

$21.9K

$53.5K

$71.3K

How much do cognitive science phd jobs pay per year?

As of Aug 13, 2026, the average yearly pay for cognitive science phd 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 careers with a cognitive science PhD?

A cognitive science PhD prepares individuals for careers in research, academia, human-computer interaction, user experience design, artificial intelligence, and data analysis. Graduates often work as university professors, research scientists, UX researchers, or in roles involving cognitive modeling and machine learning, utilizing skills in experimental design, programming, and statistical analysis.

Is a cognitive science PhD worth it?

A cognitive science PhD can be valuable for careers in research, academia, or specialized industry roles such as AI development or human-computer interaction. However, it requires significant time and financial investment, and job prospects often depend on research experience, interdisciplinary skills, and the ability to publish or present findings.

What is the difference between Cognitive Science Phd vs Data Scientist?

AspectCognitive Science PhdData Scientist
Required CredentialsPhD in Cognitive Science or related fieldBachelor's or Master's in Data Science, Computer Science, or related field; some roles prefer PhD
Work EnvironmentResearch labs, academia, industry R&DTech companies, finance, healthcare, consulting
Industry UsageResearch, academia, AI development, cognitive modelingData analysis, predictive modeling, machine learning applications

While both roles involve analytical skills and data handling, a Cognitive Science Phd focuses on understanding human cognition, often in research or AI development, whereas a Data Scientist applies statistical and machine learning techniques to solve business problems across various industries.

What are the key skills and qualifications needed to thrive as a cognitive science PhD, and why are they important?

To thrive as a Cognitive Science PhD, you need a strong interdisciplinary background in psychology, neuroscience, computer science, linguistics, and philosophy, typically supported by advanced research experience and a doctoral degree. Proficiency with data analysis tools (such as Python, MATLAB, or R), neuroimaging software, and statistical modeling is commonly required. Exceptional critical thinking, problem-solving, and communication skills help you collaborate across disciplines and convey complex ideas clearly. These skills are vital for driving innovative research, publishing impactful work, and contributing to advancements in understanding human cognition.

What are some common interdisciplinary collaborations for cognitive science PhD students, and how do they impact research projects?

Cognitive Science PhD students frequently collaborate with researchers in fields such as psychology, neuroscience, computer science, linguistics, and philosophy. These interdisciplinary teams enhance research by providing access to diverse methodologies, data sources, and theoretical perspectives. Collaborating across disciplines can lead to innovative approaches and more comprehensive findings, though it also requires strong communication and adaptability to integrate different research traditions. Such experiences are highly valued in both academia and industry, as they build versatile problem-solving skills and foster a collaborative mindset.

Is cognitive science in demand?

Cognitive science PhDs are increasingly in demand in fields such as artificial intelligence, human-computer interaction, and data analysis. Employers value skills in research, programming, and understanding of human cognition, leading to opportunities in academia, industry, and research institutions.

What is a cognitive science PhD?

A Cognitive Science PhD is a doctoral degree focused on the interdisciplinary study of the mind and intelligence. This field combines elements from psychology, neuroscience, linguistics, computer science, philosophy, and anthropology to understand how humans and other intelligent systems perceive, think, learn, and behave. Students in a Cognitive Science PhD program typically conduct original research, develop expertise across multiple disciplines, and prepare for careers in academia, industry, or government. The degree usually takes between 4 to 6 years to complete and culminates in a dissertation that contributes new knowledge to the field.

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

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

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

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

What cities in Texas are hiring for Cognitive Science Phd jobs?

Cities in Texas with the most Cognitive Science Phd job openings:

Cognitive Science Phd jobs near you
Infographic showing various Cognitive Science Phd job openings in Texas as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 78% Full Time, 17% Part Time, and 3% Contract. Highlights an 77% Physical, 4% Hybrid, and 19% 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 16 days ago

University Of Texas at Austin rating

8.2

Company rating: 8.2 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

144th 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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