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Math Research Internship information

What types of projects do math research interns typically work on, and how are they integrated into ongoing research teams?

Math research interns often contribute to ongoing projects in areas such as data analysis, algorithm development, statistical modeling, or pure mathematical theory, depending on the organization's focus. Interns usually work under the guidance of a lead researcher or mentor and participate in regular team meetings, progress reviews, and collaborative problem-solving sessions. This structure helps interns gain exposure to real-world research processes and encourages skill development through hands-on experience and feedback. The collaborative environment also allows interns to build professional connections and learn from experienced mathematicians.

What is the difference between Math Research Internship vs Data Analyst?

AspectMath Research InternshipData Analyst
Required CredentialsTypically pursuing or holding a degree in mathematics, statistics, or related fieldsOften requires a degree in statistics, mathematics, or data science
Work EnvironmentAcademic or research institutions, universities, or research labsCorporate, finance, healthcare, or tech companies
Industry UsageUsed in academic research, scientific studies, and theoretical projectsApplied in business analytics, market research, and data-driven decision making

While both roles involve quantitative skills and data analysis, a Math Research Internship focuses on theoretical and academic research in mathematics, often within educational or research institutions. In contrast, a Data Analyst applies data analysis techniques to solve practical business problems in various industries.

What is a math research internship?

A Math Research Internship is a temporary position, often held by undergraduate or graduate students, where participants work on mathematical research projects under the guidance of experienced mentors or faculty. These internships provide hands-on experience in applying mathematical theories, developing new approaches to problem-solving, and sometimes contributing to publishable research. Interns gain exposure to real-world applications of mathematics and build valuable skills for academic or industry careers. Math research internships can be found at universities, research institutes, and companies that rely on advanced mathematics.

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

To thrive as a Math Research Intern, you need a solid background in advanced mathematics, analytical thinking, and problem-solving, typically supported by progress toward a relevant degree. Familiarity with mathematical software such as MATLAB, Mathematica, or Python, as well as experience with data analysis and LaTeX for documentation, is often expected. Strong communication, collaboration, and perseverance help interns contribute effectively to research teams and present findings clearly. These skills are crucial for tackling complex problems, advancing research objectives, and communicating results within academic or industry environments.
What are the most commonly searched types of Math Research jobs in Indiana? The most popular types of Math Research jobs in Indiana are:
What are popular job titles related to Math Research Internship jobs in Indiana? For Math Research Internship jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Math Research Internship jobs in Indiana look for? The top searched job categories for Math Research Internship jobs in Indiana are:
What cities in Indiana are hiring for Math Research Internship jobs? Cities in Indiana with the most Math Research Internship job openings:
Math Research Internship jobs near you
Infographic showing various Math Research Internship job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Research Intern on Generative and Protective AI for Content Creation

Sony

Evansville, IN • On-site

$50/hr

Other

Posted 10 days ago

Job description

Sony AI America, a branch of Sony AI, is a remotely distributed organization spread across the U.S. and Canada. Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human creativity. Sony AI works closely with Sony's other business units, including Sony Interactive Entertainment LLC., Sony Pictures Entertainment Inc., and Sony Music Entertainment. With some 900 million Sony devices in hands and homes worldwide today, a vast array of Sony movies, television shows and music, and the PlayStation Network, Sony creates and delivers more entertainment experiences to more people than anyone else on earth. To learn more: https://ai.sony/

Position Summary

Sony AI is seeking research interns who are passionate about ML-based technologies that are useful in movie , game , and music creation, as well as technologies for the ethical operations of generative AIs. Our mission is to research and develop technologies for various Sony Group products and for scientific publication. The technologies developed during the internship will have the potential to be applied in film, game , and music production across entertainment studios worldwide.

Responsibilities

As a research intern, you will investigate and apply novel algorithms related to:

  • The generation and editing of video, sound, and 3D visual geometry (including 3D human motion).
  • The analysis and alleviation of ethical flaws in generative models, including techniques for memorization detection and mitigation, concept erasure, and data attribution.

Your goal will be to publish your findings in a top-tier conference. You are expected to be self-motivated and to implement innovative ideas using your research, coding, and problem-solving skills. You will receive support from internal scientists and engineers in your efforts.

Required Qualifications

  • Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields.
  • Proven knowledge and expertise in generative AI applications, including deep generative modeling, computer vision, and audio signal processing.
  • Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ).
  • Experience in research communities, including published papers at top-tier conferences such as CVPR, ICCV, ECCV, NeurIPS , ICLR, and ICML.
  • Excellent communication and presentation skills.

Preferred Qualifications

  • Currently enrolled in a relevant Ph.D. program in fields such as Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines.

Working Location

Location flexible (Tokyo, NYC, remote)

The target hourly rate for this internship is $50.00 per hour. The individual will be paid hourly and eligible for overtime .

LI-AS1

All qualified applicants will receive consideration for employment without regard to any basis protected by applicable federal, state, or local law, ordinance, or regulation.

Disability Accommodation for Applicants to Sony Corporation of America Sony Corporation of America provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. For reasonable accommodation requests, please contact us by email at careers@sonyusa.com or by mail to: Sony Corporation of America, People Experience Department, 25 Madison Avenue, New York, NY 10010. Please indicate the position you are applying for.

We are aware that unauthorized individuals or organizations may attempt to solicit personal information or payments from job applicants by impersonating our company through fraudulent job postings. We take these matters seriously but cannot control third-party websites. To protect your personal information, please verify that any job posting you respond to also appears on our official Careers page: www.sonyjobs.com . Please also be advised that we never request personal identifying information (such as Social Security numbers, bank details, or copies of identification documents) during the initial stages of our application process. If you have any doubts about the authenticity of a job posting or communication, please contact careers@sonyusa.com before submitting any information.

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