LecturerAssistant Professor of Instruction in the Division of Data Science
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Job Location:
Arlington, TX - USA
Monthly Salary:
Not Disclosed
Posted on:
17 hours ago
Vacancies:
1 Vacancy
Job Summary
Job Summary
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 Duties And Responsibilities
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.
Required Qualifications
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.
Preferred Qualifications
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.
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 Duties And Responsibilities
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.
Required Qualifications
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.
Preferred Qualifications
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.
Required Experience:
Junior IC
About Company
An educational leader in the thriving North Texas region, UTA nurtures minds within an environment that values excellence, ingenuity, and diversity.
