PhD Position in Human-centered AI, NLP, and Trustworthy AI at Kennesaw State University Kennesaw State University in United States

The Cooperative Human-AI Teaming (CHAT) Lab in the Department of Computer Science at Kennesaw State University, Marietta, Georgia, is inviting applications for a Ph.D. position starting in Fall 2026. The lab conducts cutting-edge research in Human-centered AI, Natural Language Processing (NLP), trustworthy AI, collaborative machine learning, interactive AI systems, and novel AI algorithm design. This opportunity allows students to contribute to foundational AI research at one of Georgia’s fastest-growing research institutions.

Applicants should have a strong academic background or research experience in Artificial Intelligence, Machine Learning, Natural Language Processing, Human-AI Interaction, or Software Engineering. A master’s degree in computer science, AI/ML, Data Science, or a related field is preferred, but exceptional bachelor-level candidates will also be considered. Passion for human-centered AI, trustworthy AI, NLP, and interdisciplinary interactive learning is essential.

Students will benefit from access to state-of-the-art AI/ML and NLP tools, opportunities for collaboration across multidisciplinary teams, and a strong mentorship environment focused on research growth, publication success, and career development. The CHAT Lab is part of a vibrant research community at a growing R2 research university located near Atlanta, Georgia.

To apply, candidates should email Dr. Abdullah Khan at [email protected] with a single PDF containing a cover letter (detailing research background, motivations, and alignment with Human-AI Teaming/NLP research), CV (highlighting academic achievements, research experience, publications, and technical skills), unofficial transcripts (undergraduate and, if applicable, graduate), and optionally a sample publication or project. Applications are reviewed on a rolling basis, and early submissions are strongly encouraged for full consideration. For more information, visit the CHAT Lab website.