AI Research Opportunities at UNT

Build Skills. Solve Problems. Impact the Future.

UNT’s AI Institute offers a suite of student research and experiential learning opportunities that empower learners at every level — from high school through graduate study — to engage in applied artificial intelligence and data science. Whether you’re developing your first ML model, tackling semester-long research, or competing in interdisciplinary challenges, these programs provide structured experiences, mentorship, and real outcomes.

Accelerated Deep Learning REU

Research Experiences for Undergraduates (NSF AI/DS Track)
A competitive summer research program focused on deep learning methods and applications across domains. Participants work with faculty mentors on data-intensive AI research projects and present their findings at the end of the program.

Who It’s For:
Undergraduate sophomores, juniors, and seniors with a strong quantitative interest.

What You Gain:
Hands-on research experience, mentorship, publication potential, and elevated AI skills.

AI Semester Project Competition

Apply AI to Real-World Problems — Compete & Showcase Your Work
A semester-long, team-based competition where students design and implement AI/data science solutions to problems from diverse domains. Final teams present and receive awards based on creativity, technical execution, and real-world relevance.

Who It’s For:
Undergraduate and graduate students across majors.

What You Gain:
Cross-disciplinary collaboration, portfolio development, public presentation practice, and recognition.

UNT AI Summer Research Program

Immersive Undergraduate & Graduate Summer Experience
A structured summer research program where students collaborate with faculty on cutting-edge AI research projects, attend seminars and professional development workshops, and present outcomes at a summer symposium.

Who It’s For:
Undergraduates and early graduate students seeking deep engagement in research.

What You Gain:
Applied AI experience, mentorship, professional development, and research presentation opportunities.

Stay Updated

Visit the Faculty & Student AI Calendar for:

  • Upcoming info sessions
  • Program deadlines
  • Research symposium
  • Workshops & networks