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Computer Science Phd Research Intern Jobs (NOW HIRING)

Role We are seeking a highly motivated Machine Learning Research Intern to work on cutting-edge ... Currently pursuing a PhD or Master's degree in Computer Science, Machine Learning, NLP, or a ...

Docugami started with years of R&D, and has received a $10M seed round of VC funding as well as ... learning, computer vision, statistics, causal inference, and other related disciplines

DataResearch Intern at Fujitsu Research of America Location: Santa Clara, CA The Space Data ... Requirements • Currently enrolled in a PhD program in a relevant area such as computer science ...

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Computer Science Phd Research Intern information

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How much do computer science phd research intern jobs pay per month?

As of May 28, 2026, the average monthly pay for computer science phd research intern in the United States is $6,439.50, according to ZipRecruiter salary data. Most workers in this role earn between $4,416.67 and $7,666.67 per month, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Computer Science PhD Research Intern, and why are they important?

To thrive as a Computer Science PhD Research Intern, you need advanced knowledge in computer science fundamentals, research methodology, and typically be enrolled in a relevant PhD program. Experience with programming languages (such as Python, C++, or Java), data analysis tools, and version control systems like Git is often required. Strong analytical thinking, problem-solving abilities, and effective communication skills help interns collaborate and present complex ideas clearly. These skills are essential for contributing to innovative research projects, publishing findings, and succeeding in a competitive academic or industry research environment.

What types of projects and collaborations can a Computer Science PhD Research Intern typically expect during their internship?

As a Computer Science PhD Research Intern, you will often work on advanced research projects that align with your academic interests and the organization's strategic goals. Interns typically collaborate closely with senior researchers, engineers, and sometimes cross-functional teams such as product or data science groups. Projects may involve designing experiments, developing prototypes, or publishing findings in academic venues. The environment is usually supportive of exploration and peer feedback, and you’ll have opportunities to present your work, gain mentorship, and contribute to impactful, real-world applications.

What does a Computer Science PhD Research Intern do?

A Computer Science PhD Research Intern typically contributes to cutting-edge research projects under the guidance of experienced mentors, often in an academic or industry setting. Responsibilities may include designing experiments, developing algorithms, conducting data analysis, and publishing findings in conferences or journals. The role is designed to provide practical research experience, sharpen technical skills, and foster collaboration with other researchers. Interns often have the opportunity to work on real-world problems and gain insights into the research and development process within the field of computer science.
More about Computer Science Phd Research Intern jobs
What cities are hiring for Computer Science Phd Research Intern jobs? Cities with the most Computer Science Phd Research Intern job openings:
What states have the most Computer Science Phd Research Intern jobs? States with the most job openings for Computer Science Phd Research Intern jobs include:
Infographic showing various Computer Science Phd Research Intern job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 1% As Needed, 95% Full Time, 2% Part Time, and 1% Temporary. Highlights an 67% Physical, and 33% Hybrid job distribution, with an average salary of $77,274 per year, or $37.2 per hour.
Research Scientist Intern, Applied Perception Science (PhD)

Research Scientist Intern, Applied Perception Science (PhD)

Meta

Redmond, WA • On-site

$7.31K - $12.13K/mo

Internship

Posted 9 days ago


Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

119th of 184 rated software companies


Job description

We are seeking a Research Scientist Intern with expertise at the intersection of human visual perception and AR display technology. This role is focused on advancing our understanding of color and contrast perception to improve the user experience for augmented reality products, with a specific goal of establishing guidance for accessibility and UI quality. The core technical work involves defining and implementing perceptual models to experimentally determine the chromatic contrast. This fundamental research will guide display control, color/gamut mapping, and establish UI color scheme requirements for seamless blending of virtual and real-world objects. Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
Responsibilities
Design and implement experiments or models focusing on chromatic contrast and salience in AR.
• Translate core research findings into practical guidance for product architecture, design guidance and accessibility features.
• Collaborate with researchers and engineers across various disciplines (human factors, optics, graphics, product design).
• Communicate research agenda, progress, and results throughout the duration of the project.
Minimum Qualifications
• Currently has, or is in the process of obtaining, a PhD degree in Vision Science, Perceptual Psychology, Color Science, Computer Science, Electrical Engineering, Physics or relevant technical field
• Experience in Color Science, Psychophysics, and/or Perceptual Modeling
• Experience defining research problems, exploring solutions, analyzing and presenting results
• Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
• Intent to return to degree program after the completion of the internship/co-op
Preferred Qualifications
• Experience with visual perception, designing and performing psychophysical experiments
• Demonstrated understanding of color image processing pipelines and display calibration
• Knowledge of optics, signal processing, and mathematical modeling for visual perception
• Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences
• Experience working and communicating cross-functionally in a team environment
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

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