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Internship Graph Theory Jobs (NOW HIRING)

... internship experience is applicable). • Networking experience. • Must be willing to work ... graph theory approaches, or convex optimization. • Developed, debugged, and deployed scalable ...

Real world enterprise use cases of graph theory * Gain direct exposure to Fortune 500 clients ... Mentorship & Learning Interns will work closely with experienced staff and technical mentors with ...

Real world enterprise use cases of graph theory * Gain direct exposure to Fortune 500 clients ... Mentorship & Learning Interns will work closely with experienced staff and technical mentors with ...

Professional distributed systems experience (internship experience is applicable). * Networking ... Knowledgeable in network topology, numerical optimization techniques, graph theory approaches, or ...

Professional distributed systems experience (internship experience is applicable). * Networking ... Knowledgeable in network topology, numerical optimization techniques, graph theory approaches, or ...

Professional distributed systems experience (internship experience is applicable). * Networking ... Knowledgeable in network topology, numerical optimization techniques, graph theory approaches, or ...

Quantum architecture internships offer a chance to work in cutting edge research to move quantum ... Topics can include theory and modelling of linear optical networks, fusion-based quantum computing ...

Quantum architecture internships offer a chance to work in cutting edge research to move quantum ... Topics can include theory and modelling of linear optical networks, fusion-based quantum computing ...

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Internship Graph Theory information

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How much do internship graph theory jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for internship graph theory in the United States is $17.87, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $21.15 per hour, depending on experience, location, and employer.

What is an Internship in Graph Theory?

An Internship in Graph Theory is a temporary position, typically for students or recent graduates, where individuals work on projects involving the study of graphs—mathematical structures used to model pairwise relations between objects. Interns may assist in research, data analysis, algorithm development, or software implementation under the guidance of experienced mathematicians or computer scientists. This experience helps interns apply theoretical knowledge to real-world problems, gain practical skills, and explore career paths in mathematics, computer science, or related fields.

What are the key skills and qualifications needed to thrive as an intern in Graph Theory, and why are they important?

To thrive as a Graph Theory intern, you need a strong background in discrete mathematics, algorithms, and problem-solving, usually supported by ongoing or completed studies in mathematics, computer science, or a related field. Familiarity with programming languages like Python or C++, mathematical software such as MATLAB, and tools like NetworkX or SageMath is often expected. Analytical thinking, attention to detail, and effective communication help interns collaborate on research and convey complex concepts clearly. These skills are vital for tackling challenging theoretical problems and contributing to innovative projects in academic or industry settings.

What types of projects and collaborations can I expect during a Graph Theory internship?

During a Graph Theory internship, you can expect to work on projects involving the analysis and modeling of networks, such as social networks, transportation systems, or data structures. Interns often collaborate with data scientists, software engineers, or academic researchers to develop algorithms, optimize network flows, or visualize complex graphs. The work is typically a mix of independent research and teamwork, with regular meetings to discuss progress and challenges. This environment provides a valuable opportunity to gain hands-on experience with real-world datasets and to contribute to ongoing research or product development.

What is the difference between Internship Graph Theory vs Data Analyst Intern?

AspectInternship Graph TheoryData Analyst Intern
Required CredentialsBasic understanding of graph algorithms, computer science fundamentalsBasic statistics, Excel, data visualization skills
Work EnvironmentAcademic, research-focused, often in tech or university labsCorporate, business, or tech companies analyzing data sets
Industry UsageResearch, academia, specialized tech fieldsBusiness, marketing, finance, tech industries
Common Search/ComparisonInternship Graph Theory vs Data Analyst Intern

Internship Graph Theory typically involves research and theoretical work in graph algorithms, often in academic or research settings. In contrast, Data Analyst Internships focus on analyzing data to support business decisions in corporate environments. Both roles require foundational technical skills but differ in application and industry focus.

More about Internship Graph Theory jobs
What cities are hiring for Internship Graph Theory jobs? Cities with the most Internship Graph Theory job openings:
What are the most commonly searched types of Graph Theory jobs? The most popular types of Graph Theory jobs are:
What states have the most Internship Graph Theory jobs? States with the most job openings for Internship Graph Theory jobs include:
Infographic showing various Internship Graph Theory job openings in the United States as of May 2026, with employment types broken down into 8% Internship, 51% Full Time, 40% Part Time, and 1% Contract. Highlights an 54% Physical, 4% Hybrid, and 42% Remote job distribution, with an average salary of $37,171 per year, or $17.9 per hour.
Internship - Decentralized Data Assimilation for Large Scale Systems

Internship - Decentralized Data Assimilation for Large Scale Systems

Mitsubishi Electric Research Laboratories

Cambridge, MA

Other

Medical

Posted 24 days ago


Job description

MERL is seeking a highly motivated and qualified intern to conduct research on decentralized data assimilation for multi-physical and multi-component systems governed by large-scale nonlinear differential-algebraic equations (DAEs). The research will focus on the study, development, and efficient implementation of data assimilation algorithms for such complex systems. The ideal candidate will have a strong background in one or more of the following areas: nonlinear estimation and control, Bayesian methods, machine learning, graph theory, and optimization, with demonstrated expertise through peer-reviewed publications or equivalent experience. Proficiency in Julia or Python programming is required. Senior Ph.D. students in mechanical, electrical, chemical engineering, or related fields are encouraged to apply. The internship is typically 3 months in duration, with a flexible start date.

The pay range for this internship position will be 6-8K per month.


Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERLs employees to perform their job duties may result in discipline up to and including discharge.

Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions.

In addition to base pay, interns receive a relocation stipend, covered travel to and from MERL, and a monthly Charlie Card for local commuting. Interns are invited to participate in weekly social gatherings and professional development opportunities, including research talks by both internal and external speakers. Interns who meet the 90-day waiting period are also eligible for health insurance coverage. MERL provides immigration support for qualified candidates as needed. Employment is considered at-will, and the Company reserves the right to modify base salary or any other compensation program at any time, including for reasons related to individual performance, departmental or Company performance, and market conditions.