PhD Opening in NLP for Health and Mental Health at George Washington University (Fall 2026)

George Washington University is inviting applications for a PhD position under the supervision of Assistant Professor Aya Zirikly, with a research focus on Natural Language Processing (NLP) applications in health and mental health. The position is open for Fall 2026 entry. Research topics include classification, synthetic data generation, model alignment, and AI safety in healthcare, with projects available in both English and Arabic language contexts. This opportunity is ideal for students interested in interdisciplinary work at the intersection of computer science, health informatics, and mental health. The lab leverages advanced NLP techniques to address real-world challenges in healthcare, including crisis detection, mental health support, and the development of culturally-aware datasets. Applicants will have the chance to contribute to cutting-edge research in AI safety and model alignment, with a strong emphasis on ethical and impactful applications. Prospective students should have a background in computer science, artificial intelligence, or related fields, and a keen interest in applying NLP to health and mental health domains. While no specific GPA, language test, or technical skill requirements are listed, experience in NLP, classification, synthetic data generation, or AI safety is highly relevant. The research group values diversity and encourages applications from candidates with proficiency in English or Arabic. To apply, candidates should submit their application to the George Washington University PhD program for Fall 2026 and list Aya Zirikly as their preferred advisor. Interested applicants are encouraged to reach out directly to Aya Zirikly for further information and guidance. For more details, visit the provided LinkedIn profile and application link. Keywords: Natural Language Processing, Health Informatics, Mental Health, AI Safety, Synthetic Data Generation, Model Alignment, Arabic NLP, English NLP, Classification.