What Is a Cognitive Scientist?

Last reviewed on October 31, 2026.

Cognitive science is, in the Stanford Encyclopedia's definition, “the interdisciplinary study of mind and intelligence”, drawing on philosophy, psychology, artificial intelligence, neuroscience, linguistics and anthropology (Thagard). George Miller (2003), one of the field's founders, recalled arguing for much the same list in the 1970s, when the Sloan Foundation began funding work across these disciplines.

A cognitive scientist, then, is defined less by a job title than by a kind of question. How does a child learn what a word means from a few examples? Why do people misjudge probabilities? Can a machine understand a sentence the way a person does? The rest of this page covers what that work looks like in practice. For a broader view of the field, start with the disciplines overview.

What does a cognitive scientist do?

The job varies by employer, but the core of the work is the same: turn a vague question about the mind into something that can be measured or modeled, then test it. Day to day, that usually means some mix of the following.

• Designing studies. Choosing a task, deciding what to measure, working out how many participants are needed and getting ethics approval when human participants are involved. See our guide to research methods.
• Collecting data. Running behavioral experiments in the lab or online, recording eye movements, or working with brain measures such as fMRI and EEG.
• Analyzing data. Much of the working week goes on code and statistics, commonly in Python or R.
• Building models. Writing a computer program that makes precise predictions about behavior, then fitting it to data. Wilson and Collins (2019) give a practical introduction to doing this carefully.
• Reading and writing. Following the literature, writing papers and grant applications in academia, or reports and product recommendations in industry.
• Teaching and supervising. In universities, teaching courses and training students. In companies, explaining findings to engineers, designers and managers.

Here is what one project might look like. A researcher wants to know how people learn a new category from a few examples. She writes two computer models that make different predictions, designs an online experiment where the models disagree, runs it with a few hundred participants, compares the fit of each model and writes the result up. Most of the elapsed time goes on design, coding, analysis and writing. Very little of it resembles the popular image of a scientist in a white coat, and none of it is therapy: a cognitive scientist is not a clinician unless separately trained and licensed as one.

Where do cognitive scientists work?

• Universities and research institutes. The traditional home, in departments of psychology, cognitive science, linguistics, computer science or neuroscience. Permanent academic posts are competitive.
• Technology companies. Roles include user experience researcher, data scientist, research scientist and AI evaluation specialist. Our article on computational cognitive science careers covers this route.
• Healthcare. Research on memory, language and attention disorders in hospitals and health technology companies. Clinical work itself needs professional training.
• Education. Curriculum research, learning technology and assessment design.
• Government and defense. Human factors, training and decision-support research.

Our careers guide and list of jobs for cognitive science graduates go through these in more detail. In most of them your title will be something else, so search job boards for the role rather than for “cognitive scientist”.

How do you become a cognitive scientist?

1. Bachelor's degree. A cognitive science major is the direct route, but psychology, computer science, neuroscience, linguistics, philosophy and mathematics are all common starting points.
2. Research experience. Working in a lab as an undergraduate or research assistant matters a great deal for graduate admissions. It also shows you whether you like research.
3. Graduate study. Research scientist posts generally expect a PhD, which takes several years, with length varying by country. Master's degrees open many applied roles.
4. Postdoctoral work. Academic candidates usually spend several years in one or more postdoctoral positions before applying for faculty jobs.

Whatever the route, the skills that transfer best are experimental design, statistics, programming and clear writing. If you are starting alone, see how to study cognitive science.

How much does a cognitive scientist earn?

There is no official figure. The US Bureau of Labor Statistics (BLS) does not publish pay data for “cognitive scientist” as an occupation, so any exact number you see online for that title is an estimate. The closest honest answer comes from the occupations cognitive scientists actually hold. These are national medians, and they include many people with no cognitive science background.

Pay depends heavily on sector. Technology roles tend to pay more than academic ones, and the figures above are for the United States only.

Examples of cognitive scientists and their work

These researchers show the range of the field. Not all of them use the label for themselves, and that is typical.

• Nancy Kanwisher (MIT) uses brain imaging to map functional regions of the human brain. In a 1997 study she and colleagues used fMRI to identify an area of the fusiform gyrus, in 12 of 15 participants, that responded more to faces than to other objects (Kanwisher et al., 1997).
• Joshua Tenenbaum (MIT) is a professor of computational cognitive science. His work treats learning and reasoning as probabilistic inference, asking how people can generalize so much from so little data (Tenenbaum et al., 2011). With colleagues he has also argued that AI needs more of what human learners have, such as intuitive physics and psychology (Lake et al., 2017).
• Dedre Gentner (Northwestern) is a psychologist best known for structure-mapping theory, which explains analogy as aligning relations between two domains rather than matching surface features (Gentner, 1983).
• Alison Gopnik (UC Berkeley) is a professor of psychology and affiliate professor of philosophy who studies how young children learn cause and effect. In “blicket detector” experiments, preschoolers work out which blocks make a machine play music (Gopnik & Schulz, 2004).
• Don Norman was founding chair of UC San Diego's Department of Cognitive Science, then moved into industry and design. His book The Design of Everyday Things applies ideas about human cognition to the design of products (Norman, 2013).

Cognitive scientist vs cognitive psychologist vs neuroscientist

The boundaries are blurred, and one person can fit all three descriptions. The difference is mostly one of method and level of explanation. David Marr's (1982) distinction between what a system computes, how it computes it and how that is physically built is a useful guide: psychologists and modelers tend to work on the first two, neuroscientists on the third.

Núñez and colleagues (2019) argued that the field has remained a loose collection of disciplines and never became a single coherent one: psychology dominates its citation patterns, and degree programs share no common curriculum. Others in the field dispute that verdict, but it explains why many cognitive scientists hold a degree or job title in something else. Our article on cognitive science vs neuroscience compares those two fields in more depth.

Is being a cognitive scientist a good fit for you?

The work suits people who enjoy both careful thinking and technical detail. You will probably like it if you are curious about the mind and also happy to spend days debugging analysis code. It may not suit you if your main goal is to help individuals directly, in which case clinical psychology or speech-language pathology are closer fits. Be realistic about academia too: permanent posts are scarce, which is why it pays to build skills that also work outside universities.