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Cognitive Science Internship Jobs in California (NOW HIRING)

Intern, Sleep Lab

Menlo Park, CA · On-site

$17.55 - $23/hr

This internship offers the opportunity to contribute to multiple human research studies and gain ... Current Bachelors/Masters/PhD student in psychology, neuroscience, biology, cognitive science, or a ...

This internship offers the opportunity to contribute to multiple human research studies and gain ... Current Bachelors/Masters/PhD student in psychology, neuroscience, biology, cognitive science, or a ...

This internship offers the opportunity to contribute to multiple human research studies and gain ... Current Bachelors/Masters/PhD student in psychology, neuroscience, biology, cognitive science, or a ...

Intern, Sleep Lab

Menlo Park, CA · On-site

$17.55 - $23/hr

This internship offers the opportunity to contribute to multiple human research studies and gain ... Current Bachelors/Masters/PhD student in psychology, neuroscience, biology, cognitive science, or a ...

Trauma-Focused Cognitive Behavioral Therapy (TF-CBT) * Legal aspects of domestic violence and human ... Eating Disorders Clinical Supervisors are qualified by either the Board of Behavioral Sciences or ...

Trauma-Focused Cognitive Behavioral Therapy (TF-CBT) * Legal aspects of domestic violence and human ... Eating Disorders Clinical Supervisors are qualified by either the Board of Behavioral Sciences or ...

Trauma-Focused Cognitive Behavioral Therapy (TF-CBT) * Legal aspects of domestic violence and human ... Eating Disorders Clinical Supervisors are qualified by either the Board of Behavioral Sciences or ...

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Cognitive Science Internship information

What is a cognitive science internship?

A Cognitive Science Internship is a temporary, practical work experience for students or recent graduates interested in cognitive science, an interdisciplinary field that explores the mind, intelligence, and behavior from psychological, neuroscientific, computational, and philosophical perspectives. These internships allow participants to apply theoretical knowledge to real-world research or projects, often involving tasks such as data analysis, experimental design, literature reviews, or programming. Interns can work in academic labs, tech companies, healthcare organizations, or research institutes, gaining hands-on skills and professional connections. The experience helps clarify career interests and can be a valuable stepping stone for graduate studies or entry-level positions in related fields.

What types of projects or research tasks are typically assigned to cognitive science interns?

Cognitive Science interns often work on interdisciplinary projects that may involve data analysis, experimental design, literature reviews, or assisting in behavioral studies. You might contribute to tasks such as collecting and analyzing data from cognitive experiments, programming simple behavioral tasks, or collaborating with team members from psychology, neuroscience, computer science, and linguistics. Interns are usually encouraged to participate in team meetings and may have opportunities to present their findings or support ongoing research publications. This hands-on experience helps interns gain valuable insights into real-world applications of cognitive science and develop technical and collaborative skills.

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

To thrive as a Cognitive Science Intern, you need a solid background in psychology, neuroscience, computer science, or linguistics, usually supported by relevant coursework or a related degree. Familiarity with data analysis tools (such as Python, R, or MATLAB), experimental design software, and possibly experience with brain imaging systems is highly valued. Strong analytical thinking, communication skills, and adaptability help interns collaborate effectively and contribute original ideas to interdisciplinary research teams. These skills and qualifications are crucial for successful participation in research projects and for making meaningful contributions to the field.

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

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

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

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

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

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

What cities in California are hiring for Cognitive Science Internship jobs?

Cities in California with the most Cognitive Science Internship job openings:

Infographic showing various Cognitive Science Internship job openings in California as of August 2026, with employment types broken down into 63% Full Time, 32% Part Time, and 5% Temporary. Highlights an 84% In-person, 11% Hybrid, and 5% Remote job distribution.

Research Scientist, Human‑AI Perception and Interaction Research - PhD New College Grad 2026

NVIDIA

Santa Clara, CA • On-site

Full-time

Re-posted 27 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies


Job description

Job Summary:
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. The Human Performance and Experience team is seeking a Research Scientist to advance AI in gaming and robotics by understanding human interaction and perception, collaborating with various teams and mentoring interns.
Responsibilities:
• Propose, research, prototype and test innovative research ideas.
• Publish at top conferences and patent novel inventions.
• Collaborate with other research team members, external researchers, and mentor interns.
• Create working interactive demonstrations to showcase your research ideas.
• Participate in technology transfer with engineers around NVIDIA as ideas "graduate" from research to product.
Qualifications:
Required:
• Ph.D. or equivalent research experience in Computer Science/Electrical Engineering/Cognitive Science or related field.
• Excellent track record of publications in top-tier conferences (SIGGRAPH, CHI, HRI, ICRA, NeurIPS, ICLR, ICML, CVPR, ICCV, ECCV, CoG, ETRA, etc.).
• Experience with studying human behaviors in related application domains such as gaming, driving, interacting with robots, etc.
• Proficiency with Python, Rust, and/or C++.
• Experience with AI model training and evaluation frameworks, like PyTorch.
Preferred:
• Demonstrated public portfolio (e.g. repositories, OSS contributions, notebooks, packages, or technical blog posts with code).
• Experience with multi-node, multi-GPU training and inference workflows.
• Familiarity with and interest in modern deep learning models, including working with large-scale, multi-modal foundation models (such as recent LLMs, VLMs).
• A track record of applying human behavior models to machine learning applications, or applying machine learning to understand or model human behavior.
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993