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What is an AI Computer Science internship?

An AI Computer Science internship is a temporary position for students or recent graduates to gain hands-on experience working with artificial intelligence technologies and computer science concepts. Interns typically work on real-world projects involving machine learning, data analysis, programming, and algorithm development. These internships help build practical skills, expand professional networks, and often serve as a stepping stone to full-time jobs in the tech industry.

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

To thrive as an AI Computer Science Intern, you need a solid understanding of programming languages (such as Python or Java), data structures, algorithms, and foundational AI concepts, typically supported by ongoing or completed studies in computer science or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), version control systems (such as Git), and data analysis tools is highly beneficial. Strong problem-solving abilities, eagerness to learn, and effective teamwork and communication skills help interns stand out. These skills and qualities are crucial for contributing to complex AI projects, adapting to new technologies, and collaborating effectively within technical teams.

What types of projects can I expect to work on during an AI Computer Science internship?

As an AI Computer Science intern, you can expect to work on projects such as developing machine learning models, analyzing large datasets, assisting with algorithm optimization, or contributing to research on natural language processing or computer vision. Interns often collaborate with cross-functional teams including data scientists, software engineers, and product managers. The work environment is typically fast-paced and encourages learning, experimentation, and regular feedback. You'll have opportunities to present your findings, participate in code reviews, and attend team meetings, helping you build both technical and professional skills.
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Infographic showing various Internship Ai Computer Science job openings in Florida as of June 2026, with employment types broken down into 2% Internship, 2% As Needed, 35% Full Time, 58% Part Time, and 3% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution.

Associate Professor or Full Professor in Computer Science

ST THOMAS UNIVERSITY INC

Miami Gardens, FL • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Located in sunny Miami, Florida, St. Thomas University is a private, non-profit university that offers 39 undergraduate, graduate, and postgraduate degrees at its picturesque 144-acre campus and through distance learning. Its academic offerings include one of the oldest (and most highly ranked) undergraduate programs in Sports Administration in the country. STU has been ranked #1 by U.S. News & World Report in Social Mobility for regional universities in the South, which means it takes students from the lowest financial strata and catapults them to much higher financial strata in only ten years. St. Thomas University is the only Catholic Archdiocesan-sponsored university in Florida, and one of the only eight Archdiocesan universities nationwide.

Position Summary:

A Computer Science faculty member to serve as Program Director and to lead, manage, and teach in the Bachelor of Science of Computer Science program as well as the Master of Science in Data Science program and/or the Master of Science in Cybersecurity & Analytics program.

ESSENTIAL FUNCTIONS:
  • Direct the University's computer science programs. This includes ongoing management functions such as class scheduling, selection of course materials, hiring adjuncts, as well as evaluations of courses and faculty.
  • Develop new program initiatives in AI and IT.
  • Teach undergraduate lectured Computer Science courses such as Data Structures and Algorithms, Database, Software Engineering, and programming in C++, Java, and Python.
  • Teach graduate lectured data science courses such as Data Engineering, Applied Machine Learning, and Statistical Methods, or cybersecurity courses such as Cybersecurity Technologies and Ethical Hacking.
  • Carry a minimum class load of 12 credits per semester.
  • Available for a minimum of 12 hours a week for office hours.
  • Other Computer Science and Data Science teaching, research, and advising duties as assigned.

REQUIRED EDUCATION AND EXPERIENCE:

  • PhD in Computer Science, Computational Science, Computer Engineering, Data Science or a closely related field.

  • Qualified experience teaching and working with undergraduate and graduate students.

PREFERRED EDUCATION AND EXPERIENCE

  • Record of publication and research in data science or cybersecurity.

  • Experience with online teaching delivery.

POSITION QUALIFICATIONS:

  • Familiarity with current developments in AI and cloud technologies.

  • Able to program and teach in Python, Java, and C++.

  • Comfortable with several classroom technological applications. 

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