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

As of Jul 14, 2026, the average monthly pay for computer science research intern in New Mexico is $6,240.33, according to ZipRecruiter salary data. Most workers in this role earn between $4,283.33 and $7,433.33 per month, depending on experience, location, and employer.

What does a Computer Science Research Intern do?

A Computer Science Research Intern typically assists with research projects in areas like artificial intelligence, data science, software engineering, or cybersecurity. Their responsibilities may include reviewing academic literature, designing and running experiments, analyzing data, and writing reports or research papers. Interns often collaborate with faculty members, graduate students, or research teams to solve real-world problems and contribute to new technological advancements. The experience helps interns gain practical skills, deepen their technical knowledge, and prepare for future careers in academia or industry.

What are the typical responsibilities of a Computer Science Research Intern during a project cycle?

As a Computer Science Research Intern, you’ll often be involved in conducting literature reviews, designing and implementing experiments, collecting and analyzing data, and presenting your findings to the research team. Interns frequently collaborate with senior researchers and other interns, participate in regular meetings, and may contribute to academic papers or technical documentation. This hands-on role provides valuable exposure to the research process in a professional setting, helping you build both technical and communication skills.

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

To thrive as a Computer Science Research Intern, you need a solid understanding of algorithms, data structures, programming languages (such as Python, Java, or C++), and a strong academic background in computer science or related fields. Familiarity with research tools like LaTeX, version control systems (e.g., Git), and experience with data analysis or machine learning frameworks is often required. Strong analytical thinking, curiosity, effective communication, and the ability to collaborate within a research team are highly valued soft skills. These skills and qualities enable interns to contribute meaningfully to research projects, solve challenging problems, and communicate findings clearly.
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Computer Science Research Intern jobs near you
Post-Baccalaureate Student in Computer Science and Data Science for Materials Characterization

Post-Baccalaureate Student in Computer Science and Data Science for Materials Characterization

Los Alamos National Laboratory

Los Alamos, NM • On-site

$223K/yr

Full-time

Re-posted 10 days ago

Los Alamos National Laboratory rating

9.2

Company rating: 9.2 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

8th of 105 rated laboratories

Job description

Job Summary:
Los Alamos National Laboratory is a multidisciplinary research institution engaged in strategic science on behalf of national security. They are seeking a highly motivated post-baccalaureate to develop advanced analysis software and automated workflows for materials characterization.
Responsibilities:
• design, implement, and optimize automated data analysis pipelines for complex, high-dimensional, and multimodal experimental datasets
• develop 3D microstructural analysis tools, computer vision algorithms, and data-driven methods that enable scalable and reproducible materials analysis
• contribute to the development and extension of METIS3D, a graph-based microstructural analysis platform, by implementing new microstructural descriptors
• improve scalability and memory efficiency, and enable automated, graph-based and data-driven analyses
• develop novel digital image correlation (DIC) and computer vision methods to detect microstructural discontinuities (e.g., slip, twinning) and accurately quantify local strain evolution during deformation experiments
• collaborate within a highly interdisciplinary team spanning materials science, applied mathematics, and computer science
Qualifications:
Required:
• Degree in Computer Science or Computer Science and Electrical Engineering
• Strong background in data science, algorithms, and software engineering
• Proficiency in C++, Python, and Matlab
• Solid foundation in computer vision, numerical methods, and mathematical analysis
• Experience developing automated analysis workflows and research-grade software
• Bachelor's degree in computer science, Electrical Engineering, completed within the last two years
• Must have earned a Bachelor's degree from an accredited institution (or international equivalent) within the last 3 years in an appropriate field
• Must have graduated with a cumulative GPA of 2.75 or above on a 4.0 scale (or equivalent)
Preferred:
• Experience handling multimodal and high-dimensional datasets
• Familiarity with workflow automation, scripting, and pipeline development
• Experience with graph algorithms and complex data structures
• Experience working with large C++ codebases and performance optimization
• Background in signal processing and optimization methods
• Experience with digital image correlation or image-based deformation analysis
• Exposure to 3D microstructural analysis (e.g., EBSD or tomography data) is a plus
• Self-motivated and able to work independently.
• Strong communication skills
• Comfortable working in an interdisciplinary research environment
Company:
Los Alamos National Laboratory, a multidisciplinary research institution engaged in strategic science on behalf of national security, is Founded in 1943, the company is headquartered in Los Alamos, USA, with a team of 10001+ employees. The company is currently Late Stage.

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