Bashar Alhafni

The Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is offering a Research Engineer position in the Arabic AI Modeling (Aram) Lab, led by Bashar Alhafni. The lab focuses on advancing research and education in Arabic natural language processing (NLP) and machine learning, with a strong emphasis on linguistically informed and socially grounded AI systems. Key research themes include educational Arabic NLP, such as grammatical error detection, automated essay scoring, and text simplification, as well as human-centered NLP methods for dialectal normalization and personalized generation. The lab also investigates Arabic linguistic representation and model behavior, exploring topics like morphosyntactic evaluation and the effects of diacritization. The position is ideal for candidates passionate about Arabic NLP, software engineering, and system development, offering the opportunity to work on cutting-edge research in a collaborative environment. Applicants are encouraged to apply via the provided link and learn more about the lab's ongoing projects and recent achievements, including grants and conference participation. No specific funding or deadline information is provided. The position is based in the United Arab Emirates at MBZUAI.