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Theoretical Computer Science Internship Jobs in Texarkana, TX

Theoretical Computer Science Internship information

See Texarkana, TX salary details

$8

$16

$22

How much do theoretical computer science internship jobs pay per hour?

As of May 28, 2026, the average hourly pay for theoretical computer science internship in Texarkana, TX is $16.05, according to ZipRecruiter salary data. Most workers in this role earn between $13.37 and $17.84 per hour, depending on experience, location, and employer.

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

To thrive as a Theoretical Computer Science Intern, you need a strong background in mathematics, algorithms, and discrete structures, often supported by coursework in computer science or mathematics. Familiarity with programming languages (such as Python or C++), LaTeX for documentation, and version control systems like Git is typically expected. Analytical thinking, problem-solving, and effective written communication are standout soft skills for this role. These skills are crucial for tackling complex theoretical problems, collaborating on research, and clearly presenting findings in both academic and professional environments.

What types of projects do interns typically work on during a Theoretical Computer Science Internship?

During a Theoretical Computer Science Internship, interns often work on projects involving algorithm design, computational complexity, graph theory, or cryptography. These projects may include analyzing and improving existing algorithms, developing proofs of concept, or researching open problems under the guidance of senior researchers. Interns usually collaborate closely with other interns and full-time researchers, participate in regular group meetings, and are encouraged to present their findings. The work is generally research-oriented and may involve reading academic papers, writing reports, and sometimes contributing to publications.

What is a Theoretical Computer Science Internship?

A Theoretical Computer Science Internship is a temporary position, typically for students or recent graduates, focused on research and problem-solving within the foundational areas of computer science. Interns in this role explore topics such as algorithms, computational complexity, cryptography, and formal methods. They often work on mathematical proofs, theoretical models, or simulations under the guidance of experienced researchers or faculty. The internship provides valuable experience in academic research, logical reasoning, and advanced problem-solving, preparing participants for further study or research-oriented careers.

What is the difference between Theoretical Computer Science Internship vs Data Science Internship?

AspectTheoretical Computer Science InternshipData Science Internship
Required CredentialsTypically requires computer science or related degrees, strong math backgroundRequires statistics, programming, and data analysis skills
Work EnvironmentResearch labs, academic settings, tech companies focusing on algorithms and theoryBusiness, tech companies, analytics firms working on data modeling and insights
Industry UsageAcademic research, R&D departments, tech industryBusiness analytics, marketing, finance, tech industry

Theoretical Computer Science Internships focus on algorithm development, computational theory, and mathematical foundations, often in research or academic settings. Data Science Internships emphasize data analysis, machine learning, and practical application of statistical methods in business or tech environments. While both require strong programming skills, their core focus and industry applications differ significantly.

Assistant or Associate Professor of Computer Science

Texas A&M University - Texarkana

Texarkana, TX

Full-time

Posted 28 days ago


Texas A&M University rating

7.8

Company rating: 7.8 out of 10

Based on 143 frontline employees who took The Breakroom Quiz

189th of 528 rated colleges and universities


Job description

Job Title

Assistant or Associate Professor of Computer Science

Agency

Texas A&M University - Texarkana

Department

CBET - Information Systems/Computing Technologies

Proposed Minimum Salary

Commensurate

Job Location

Texarkana, Texas

Job Type

Faculty

Job Description

The College of Engineering and Computing (CEC) includes undergraduate and graduate degrees in civil, mechanical, electrical engineering, computer science, and artificial intelligence. The mission of the College is to provide students with a high-value education that emphasizes the fundamentals of their disciplines. The College provides a learning environment that engages students, faculty, and community stakeholders for regional advancement. Many of our programs are accredited or are being accredited by ABET.

CEC invites applications for a full-time Assistant/Associate Professor of Computer Science to teach at the undergraduate and graduate level in the field of Computer Science. We are looking for a passionate educator who can engage students in the practical, theoretical, and technical aspects of computer science. The start date could be in Fall 2026 or Spring 2027.

Eligibility to work in the U.S. is required at the time of hire. No pre-employment sponsorship is authorized for this position.

ESSENTIAL DUTIES & RESPONSIBILITIES:

This is a tenure track position with an emphasis on delivering high-quality instruction and preparing students for Computer Science/Information Technology based roles in industry. Teaching load will be 3 courses per long semester, comprising in-person, online, and hybrid classes. We are a student-success driven university, and faculty keep regular office hours.

KNOWLEDGE, SKILLS & ABILITIES:

Minimum Qualifications:

(Assistant Professor Rank)

  • Ph.D. or Doctorate in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Data Analytics, or a closely related field.
  • Experience teaching or assisting in teaching at the undergraduate level.
  • Proficiency in relevant tools and platforms (e.g., Eclipse, R-Studio, GenAI).
  • Excellent written and verbal communication skills.
  • Commitment to student-centered teaching and continuous improvement.
  • Qualifications that meet expectations for tenure and rank at TAMUT (TAMUT University T&P Guidelines)

(Associate Professor Rankl)

  • Meet all the minimum requirements at the Assistant Professor rank
  • A high level of accomplishments as measured against the contributions of contemporaries in the field of Computer Science.
  • Research and service commensurate with the university's guidelines for the rank of associate professor.
  • At least 5 years of experience at the rank of Assistant Professor at a comparable university.

Preferred Qualifications

  • Ph.D. or Doctorate from an accredited US university.
  • Experience in designing and delivering undergraduate computer science and artificial Intelligence/machine learning courses.
  • Industry experience or consulting in computer science or related fields.
  • Experience teaching in both in-person and online environments.
  • Competence in teaching classes on programming languages (such as Java, Python, R, etc.)
  • A relevant certification and/or industry experience are preferred.

Other Requirements

  • Ability to travel and work beyond normal office hours, if needed.
  • Ability to maintain confidentiality.
  • Eligibility to work in the U.S. is required at the time of hire. No pre-employment sponsorship is authorized for this position.

SUPERVISION OF PERSONNEL:

This position generally does not supervise employees.

OPEN UNTIL FILLED.

To apply: Upload your cover letter, CV/resume, transcripts, and 3 professional reference's contact information with one reference being a supervisor/manager in the questionnaire section of your application.

Please remember once you submit your application you will not be able to "revise" or upload any documents. If you have any questions about uploading or a revision to your application, you may contact HR@tamut.edu.

All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution's verification of credentials and/or other information required by the institution's procedures, including the completion of the criminal history check.

Equal Opportunity/Veterans/Disability Employer.


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