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Internship Computational Media Jobs (NOW HIRING)

Professor & Director

College Park, MD · On-site

$58K - $254K/yr

The institute pioneers computational science involving national defense, precision medicine, big ... The faculty regularly mentor visiting undergraduates through NSF-funded summer internship research ...

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How much do internship computational media jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for internship computational media in the United States is $11.11, according to ZipRecruiter salary data. Most workers in this role earn between $6.97 and $14.18 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Computational Media, and why are they important?

To thrive as an intern in Computational Media, you need a foundational understanding of computer programming, digital media design, and basic principles of human-computer interaction, often supported by coursework or related academic experience. Familiarity with tools like Adobe Creative Suite, Unity, or programming languages such as Python and JavaScript is typically expected. Creativity, problem-solving, and strong collaboration skills help interns contribute effectively to team projects and adapt to evolving technical challenges. These skills and qualities are essential for producing innovative digital content and succeeding in multidisciplinary, fast-paced environments.

What is an Internship in Computational Media?

An Internship in Computational Media is a temporary position, typically for students or recent graduates, that provides hands-on experience at the intersection of technology, art, and design. Interns work on projects involving programming, digital media, interactive design, and user experience, often contributing to creative or research-based initiatives. These internships offer opportunities to develop technical and creative skills, build a professional portfolio, and gain exposure to careers in fields like game design, interactive storytelling, and multimedia production.

What types of projects can I expect to work on during an Internship in Computational Media, and how collaborative is the work environment?

During a Computational Media internship, you can expect to work on a variety of projects that blend creative design with technical development, such as interactive media installations, digital storytelling tools, or game prototypes. The work environment is highly collaborative, often involving close teamwork with designers, developers, and sometimes artists or writers. Interns are typically encouraged to contribute ideas and participate in brainstorming sessions, while also developing technical skills through hands-on implementation. This setting provides valuable exposure to interdisciplinary workflows and opportunities to learn from peers with diverse expertise.

What is the difference between Internship Computational Media vs Internship Digital Media?

AspectInternship Computational MediaInternship Digital Media
Required SkillsProgramming, multimedia design, codingContent creation, graphic design, social media
Work EnvironmentTech companies, media firms, startupsAdvertising agencies, media outlets, marketing firms
Typical EmployerMedia tech companies, software firmsMarketing agencies, digital content creators

Internship Computational Media focuses on technical skills like programming and multimedia development, often in tech-driven environments. In contrast, Internship Digital Media emphasizes content creation and marketing skills within advertising and media companies. Both roles provide valuable industry experience but cater to different skill sets and career paths.

More about Internship Computational Media jobs
What cities are hiring for Internship Computational Media jobs? Cities with the most Internship Computational Media job openings:
What are the most commonly searched types of Computational Media jobs? The most popular types of Computational Media jobs are:
What states have the most Internship Computational Media jobs? States with the most job openings for Internship Computational Media jobs include:
COSMOS - Graduate Research Assistant (ML/AI)

COSMOS - Graduate Research Assistant (ML/AI)

University of Arkansas System

Little Rock, AR • On-site

$11K - $13K/mo

Part-time

Posted 11 days ago


University Of Arkansas System rating

6.0

Company rating: 6.0 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

492nd of 544 rated colleges and universities


Job description

Current University of Arkansas System employees, including student employees and graduate assistants, need to log in to Workday via MyApps.Microsoft.com, then access Find Jobs from the Workday search bar to view and apply for open positions. Students at University of Arkansas System will also view open positions and apply within Workday by searching for "Find Jobs for Students".
All Job Postings will close at 12:01 a.m. CT on the specified Closing Date (if designated).

If you close the browser or exit your application prior to submitting, the application process will be saved as a draft. You will be able to access and complete the application through "My Draft Applications" located on your Candidate Home page.
Closing Date:
Type of Position:
Graduate Assistant
Workstudy Position:
No
Job Type:
Academic Term (Fixed Term)
Work Shift:
Sponsorship Available:
No
Institution Name:
University of Arkansas at Little Rock
The University of Arkansas at Little Rock is a metropolitan research university that provides an accessible, quality education through flexible learning and unparalleled internship opportunities. At UA Little Rock, we prepare our more than 8,900 students to be innovators and responsible leaders in their fields. Committed to its metropolitan research university mission, UA Little Rock is a driving force in Little Rock's thriving cultural community and a major component of the city and state's growing profile as a regional leader in research, technology transfer, economic development, and job creation.
Below you will find the details for the position including any supplementary documentation and questions you should review before applying for the opening. To apply for the position, please click the Apply link/button.
If you have a disability and need assistance with the hiring process please contact Human Resources at 501-916-3180.
For general application assistance or if you have questions about a job posting, please contact Human Resources at 501-916-3180.
Department:
COSMOS - Provisional Positions
Department's Website:
https://cosmos.ualr.edu/
Summary of Job Duties:
The Graduate Research Assistant will develop machine learning and artificial intelligence (ML/AI)-driven socio-computational models to analyze social media data, particularly video-based social media data. Analysis will include (but not limited to) content analysis and network analysis. Content will include text, multimedia, and metadata. The Graduate Research Assistant will work with the research team to develop predictive models of socio-technical behaviors and identify key actors and key groups responsible for coordinating cyber campaigns. This is an on-campus position. Position reports to Dr. Nitin Agarwal (nxagarwal@ualr.edu), Maulden-Entergy Endowed Chair and Distinguished Professor and Director, COSMOS Research Center, UA-Little Rock. This position is governed by state and federal laws, and agency/institution policy.
Qualifications:
Required Education and/or Experience:
  • Bachelor's Degree from an accredited institution of higher education;
  • Regular admission to a graduate degree program or good standing with the Graduate School for continuing graduate students;
  • Ability to work the required hours (FT-50% - 20 hours per week/PT-25% - 10 hours per week) with regular attendance.

Preferred Education and/or Experience:
  • The candidate must have a bachelor's degree in Computer Science, Information Science, or a related discipline;
  • A candidate with experience in computer programming and data management will be given preference;
  • Experience with graph theory and graphic libraries such as Gephi or NetworkX.;
  • Experience with crawling web data;
  • Familiar with UNIX-based systems such as Linux.

Job Duties and Responsibilities:
  • Conduct research applying machine learning and AI methods to social media data;
  • Assist with video-based online information environment analysis;
  • Assist with data collection, cleaning, preprocessing, analyzing findings from the data, writing research findings, and presenting the research at conferences, scientific venues, program reviews, and other venues;
  • Assist in preparing reports and publications;
  • Coordinate meetings and lead discussions;
  • Other tasks as needed.

Knowledge, Skills, and Abilities:
  • Extensive knowledge of R or Python, including data analysis and graphing libraries such as Pandas, Matplotlib, Plotly, as well as ML libraries such as SK-Learn, TensorFlow;
  • Experience with machine learning techniques and models such as classifiers, transformers, clustering, etc.;
  • Knowledge of DB systems and SQL language;
  • Knowledge of computational social science and social network analysis;
  • Ability to interact with people of diverse ethnic backgrounds;
  • Communication skills, writing skills, and public speaking;
  • Effective organizational skills.

Additional Information:
Salary Information:
$11,250-$13,500
Required Documents to Apply:
Resume
Optional Documents:
Special Instructions to Applicants:
Recruitment Contact Information:
Prof. Nitin Agarwal, Maulden-Entergy Endowed Chair, Donaghey Distinguished Professor, and Director, COSMOS Research Center at UA-Little Rock.
nxagarwal@ualr.edu
All application materials must be uploaded to the University of Arkansas System Career Site https://uasys.wd5.myworkdayjobs.com/UASYS
Please do not send to listed recruitment contact.
Pre-employment Screening Requirements:
No Background Check Required
The University of Arkansas at Little Rock is committed to providing a safe campus community. We conduct background checks for applicants being considered for employment. Background checks include a criminal background check and a sex offender registry check. For certain positions, there may also be a financial (credit) background check, a Motor Vehicle Registry (MVR) check, and/or drug screening. Required checks are identified in the position listing. A criminal conviction or arrest pending adjudication or adverse financial history information alone shall not disqualify an applicant in the absence of a relationship to the requirements of the position. Background check information will be used in a confidential, non-discriminatory manner consistent with state and federal law.
The University of Arkansas is an equal opportunity institution. The University does not discriminate in its education programs or activities (including in admission and employment) on the basis of any category or status protected by law, including age, race, color, national origin, disability, religion, protected veteran status, military service, genetic information, sex, sexual orientation, or pregnancy. Questions or concerns about the application of Title IX, which prohibits discrimination on the basis of sex, may be sent to the University's Title IX Coordinator and to the U.S. Department of Education Office for Civil Rights.
Persons must have proof of legal authority to work in the United States on the first day of employment.
All application information is subject to public disclosure under the Arkansas Freedom of Information Act.
Constant Physical Activity:
Manipulate items with fingers, including keyboarding, Repetitive Motion, Sitting, Standing, Talking, Walking
Frequent Physical Activity:
Manipulate items with fingers, including keyboarding, Repetitive Motion, Sitting, Standing, Talking, Walking
Occasional Physical Activity:
Manipulate items with fingers, including keyboarding, Repetitive Motion, Sitting, Standing, Talking, Walking
Benefits Eligible:
No

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About University of Arkansas System

Sourced by ZipRecruiter

The University of Arkansas System is a prominent player in the education industry, based out of Little Rock, AR, in the United States. Serving as the governing body of various public universities, two-year community colleges, and other educational institutions throughout Arkansas, the System plays an integral role in shaping the state's educational landscape. Established in 1871, the University of Arkansas System is characterized by its commitment to education and its deep-seated values of academic freedom, shared governance, and equal opportunity. Through relentless pursuit of its mission - to improve the mind, body, and keep the quality and accessibility of education services at the forefront of its operations, the system has achieved significant milestones, such as being accredited by the Higher Learning Commission.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Little Rock, AR, US

Year founded

1871

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