Lecturer/Assistant Professor of Instruction in the Division of Data Science

Salary Confidential Position range in Tarrant County $53k - $122k Per Year Lecturer/Assistant Professor of Instruction in the Division of Data Science

UNIVERSITY OF TEXAS AT ARLINGTON

Occupation:

Computer Science Teachers, Postsecondary

Location:

Arlington, TX - 76019 Positions available: 2 Job #: 17003882

Source:

WorkInTexas

Posted:

04/17/2026

Updated:

04/20/2026

Expires:

04/17/2027

Web Site:

WorkInTexas Onsite /

Remote:

Selection Required

Job Type:

Regular, Full Time (30 Hours or More), Permanent Employment, Day Shift

Agency Job ID:

F00748P Job Requirements and Properties Help for Job Requirements and Properties. Work Onsite Full Time Education Master's Degree Schedule Full Time Job Type Regular Duration Permanent Employment Shift Day Shift Help for . The Division of Data Science in the College of Science at The University of Texas at Arlington invites applications for a full-time Lecturer/Assistant Professor of Instruction (Academic Professional Track) to support teaching and curriculum development in Python programming, machine learning, deep learning, and modern AI applications. The ideal candidate brings strong applied skills and a commitment to hands-on, project-based instruction. Experience with Generative AI, Agentic AI systems, industry experience, or teaching experience is highly desirable.

This position is expected to start September 1, 2026..Essential responsibilities include teaching undergraduate and graduate courses such as Python for Data Science, Machine Learning, Deep Learning, Applied AI, and Data Mining; designing hands-on assignments and projects using real-world datasets and modern development practices; mentoring student capstone and industry-facing projects; contributing to ongoing curriculum development aligned with evolving workforce needs in AI and data science; and participating in service activities within the Division and College..Ph.D. in Data Science, Computer Science, AI/ML, or a scientific field, or M.S. in such a field and significant industry experience.

Demonstrated capability in machine learning and deep learning such as publications or industry projects developing deep learning solutions.

Evidence of effective teaching, mentoring, or leadership..Industry or applied research experience in data science or artificial intelligence.

Strong understanding of deep learning concepts, various network architectures, and practical model development.

Experience with model deployment, experimentation, or reproducible machine learning workflows.

Experience building or teaching modern AI applications, including generative AI (e.g., large language models, transformer-based models, diffusion models, or related approaches) and agentic AI.Familiarity with LLM-based application workflows, such as prompt engineering, retrieval-augmented generation (RAG), or similar approaches.