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Internship Cognitive Science Research Jobs in Riverside, CA

Zymo Research

Research Intern Sample Prep

Tustin, CA · On-site

$20/hr

This position is a part-time internship (maximum of 29 hours per week). Essential Duties and ... Design and conduct scientific experiments to support product development. * Analyze, interpret, and ...

Danaher

R&D Internships

Pomona, CA · On-site

By submitting your interest, you'll be among the first to know when internship opportunities open ... You'll work in a collaborative environment alongside experienced scientists and contribute to real ...

Casa de la Familia

Clinical Internship

Santa Ana, CA · On-site

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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All JobsCognitive Science Research JobsInternship Cognitive Science Research JobsInternship Cognitive Science Research Jobs in Riverside, CA

Internship Cognitive Science Research information

See Riverside, CA salary details

$2.2K

$6.7K

$8.1K

How much do internship cognitive science research jobs pay per month?

As of Aug 15, 2026, the average monthly pay for internship cognitive science research in Riverside, CA is $6,718.08, according to ZipRecruiter salary data. Most workers in this role earn between $4,608.33 and $8,000.00 per month, depending on experience, location, and employer.

What kinds of projects or research topics do interns typically work on in a cognitive science research internship?

Interns in Cognitive Science Research often contribute to projects involving data collection and analysis, literature reviews, and experimental design related to human cognition, perception, or behavior. Depending on the focus of the lab, you might work with technologies such as EEG, eye-tracking, or computational modeling. Interns frequently collaborate with graduate students, postdocs, and faculty, gaining exposure to interdisciplinary methods spanning psychology, neuroscience, linguistics, and computer science. This hands-on experience helps interns develop practical research skills and can lead to opportunities for presenting or publishing findings.

What is an internship cognitive science research?

Internship cognitive science research positions are temporary roles, typically for students or recent graduates, that provide hands-on experience in the field of cognitive science. Interns assist with research projects, data collection, literature reviews, and sometimes experimental design under the supervision of experienced researchers. These internships help participants gain practical skills, explore career paths in psychology, neuroscience, artificial intelligence, or related areas, and build a professional network. They are often offered by universities, research labs, or technology companies with a focus on understanding human cognition.

What are the key skills and qualifications needed to thrive as an internship cognitive science researcher, and why are they important?

To excel as an Internship Cognitive Science Researcher, you generally need a strong academic background in cognitive science, psychology, neuroscience, or a related field, with foundational knowledge in research methods and data analysis. Familiarity with statistical software (such as SPSS, R, or Python), experimental design platforms, and sometimes programming experience are commonly required. Critical thinking, curiosity, and effective communication are vital soft skills that enable collaboration and innovation in research settings. These competencies are essential for conducting rigorous studies, analyzing complex data, and contributing valuable insights to cognitive science research projects.

What is the difference between Internship Cognitive Science Research vs Cognitive Science Research Assistant?

AspectInternship Cognitive Science ResearchCognitive Science Research Assistant
Required CredentialsUndergraduate student, relevant courseworkBachelor's degree, research experience often preferred
Work EnvironmentAcademic labs, research projects, supervised internshipUniversity labs, research teams, often more independent
Employer & Industry UsageUniversities, research institutes, industry internshipsUniversities, research centers, sometimes industry
Common Search & ComparisonInternship roles for students exploring cognitive scienceEntry-level research support roles in cognitive science

Internship Cognitive Science Research positions are typically designed for undergraduate students gaining initial research experience, often in academic or industry internship settings. Cognitive Science Research Assistants usually hold a bachelor's degree and assist with ongoing research projects within university labs or research centers. While both roles involve supporting cognitive science research, internships focus on learning and exploration, whereas research assistant roles involve more hands-on research responsibilities.

What are the most commonly searched types of Cognitive Science Research jobs in Riverside, CA?

The most popular types of Cognitive Science Research jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Internship Cognitive Science Research jobs?

Cities near Riverside, CA with the most Internship Cognitive Science Research job openings:

Internship Cognitive Science Research jobs near you
Infographic showing various Internship Cognitive Science Research job openings in Riverside, CA as of August 2026, with employment types broken down into 4% Internship, 74% Full Time, and 22% Part Time. Highlights an 92% In-person, 4% Hybrid, and 4% Remote job distribution, with an average salary of $80,617 per year, or $38.8 per hour.

Robotics Research Internship-Locomotion & Planning (Fall 2026)

FieldAI

Irvine, CA

$45 - $60/hr

Full-time, Internship

Re-posted 4 hours ago

Job description

About the Internship
 
Field AI is building the future of autonomy-from rugged terrain to real-world deployment. We're on a mission to develop intelligent, adaptable robotic systems that operate beyond simulation and thrive in unpredictable environments. 
 
We are offering a Summer 2026 internship focused on learning-based locomotion and planning for PhD students interested in advancing autonomous legged robot capabilities. As a research intern, you will work at the intersection of reinforcement learning, locomotion control, and learned planning, developing integrated systems that enable robots to move and navigate intelligently through complex, unstructured environments.
 
You will collaborate closely with Field AI research scientists and engineers to design experiments, develop locomotion and planning systems, and validate ideas in simulation and on real hardware. This internship emphasizes building tightly integrated learning-based systems that connect low-level locomotion with high-level planning, translating research into practical, deployable capabilities for real-world robotics.
What You'll Get To Do
  •  
Advance RL-Based Locomotion and Learned Planning Research
 
  • Design, implement, and evaluate reinforcement learning pipelines that tightly integrate locomotion control with learning-based planning.
  • Explore how learned planners can inform and adapt locomotion behaviors across varied terrain and dynamic conditions.
  • Contribute to research projects from early-stage ideas through simulation experiments and on-robot validation.
 
Bridge Locomotion and Planning Across the Sim-to-Real Gap
 
  • Develop and refine sim-to-real transfer strategies, including domain randomization, system identification, and adaptive methods, for integrated locomotion-planning systems.
  • Build and leverage GPU-accelerated simulation environments (Isaac Gym, Isaac Lab, MuJoCo) for scalable training and evaluation.
  • Test and iterate on policies using real legged robot platforms in unstructured environments.
 
Build Systems That Connect Research to Deployment
 
  • Translate research concepts into working robotic systems tested on real hardware.
  • Develop experimental setups and tooling to support data collection, evaluation, and reproducibility.
  • Help ensure locomotion and planning systems are robust, field-relevant, and ready for iterative improvement.
 
Collaborate Across the Full Robotics Stack
 
  • Work closely with systems engineers, perception experts, and embedded teams to close the loop between learning and execution.
  • Incorporate real-world telemetry and field data to refine models and improve generalization.
  • Engage with researchers and engineers across the team to align experiments with broader autonomy goals.
 
Rapidly Iterate and Learn
 
  • Prototype quickly, run experiments in simulation and on hardware, and analyze results rigorously.
  • Balance exploratory research with concrete deliverables over the course of the internship.
  • Debug system-level issues spanning simulation, software, hardware, and learning.
What You Have
  • Current PhD student in Robotics, Computer Science, Mechanical Engineering, AI/ML, or a closely related field.
  • Research experience in reinforcement learning for continuous control, locomotion, or learning-based planning.
  • Strong foundation in contact dynamics, control theory, and kinematics.
  • Proficiency in Python and/or C++, with experience using robotics or ML tooling.
  • Familiarity with physics-based simulators such as Isaac Gym, Isaac Lab, MuJoCo, or PyBullet.
  • Experience designing experiments and evaluating results on robotic systems (simulation or hardware).
  • Curiosity, initiative, and a strong interest in building autonomous systems that operate in the real world.
The Extras That Set You Apart
  • Hands-on experience with legged robot platforms (quadrupeds, wheeled-quadrupeds, bipedal systems, or exoskeletons).
  • Experience with sim-to-real transfer for locomotion or planning policies.
  • Background in learning-based planning, motion planning, or terrain-adaptive control.
  • Familiarity with ROS or ROS2.
  • Publications, preprints, or open-source contributions in locomotion, RL, planning, or control.
  • Experience deploying neural network controllers on resource-constrained or real-time robotic platforms.
  • Interest in bridging cutting-edge research with practical, field-ready robotic systems.
$45 - $60 an hour
Our salary range is generous and we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. 
 
Field AI Onsite Work Philosophy
 
At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our Irvine, CA office. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance.
 
Why Join Field AI?
We are solving one of the world's most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.
 
You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.
 
Be Part of the Next Robotics Revolution
To tackle such ambitious challenges, we need a team as unique as our vision - innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.
 
Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!
 
We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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