Fully Funded PhD in Artificial Intelligence for Automated Radiography Report Generation at United Arab Emirates University

United Arab Emirates University is offering a fully funded PhD position in Artificial Intelligence, focusing on the development of an integrated AI framework for automated radiography report generation for chest X-rays. The research project, led by Professor Amir Ahmad from the College of Information Technology, is conducted in collaboration with the University of Toronto (Canada) and NUST (Pakistan). The successful candidate will work on novel explainable large language algorithms for report generation, contributing to advancements in medical imaging and AI-driven healthcare solutions. The position is open to candidates with a Master’s degree in Computer Science, Computer Engineering, Information Technology, or a related field. Applicants must demonstrate expertise in machine learning, deep learning, and large language models (LLMs), as well as proficiency in Python and deep learning libraries such as PyTorch or TensorFlow. A strong publication record and excellent communication skills are expected. The program requires an overall IELTS Academic score of 6.5 or equivalent, and all UAEU PhD admission requirements must be met, including certified transcripts, recommendation letters, and a CV. This four-year position offers a full scholarship, medical insurance, and a complete tuition fee waiver. The successful applicant will be enrolled as a full-time PhD student at United Arab Emirates University, with opportunities to collaborate internationally. The application deadline is March 31, 2026, with the program commencing in Fall 2026. Interested candidates should send their CV and motivation letter to Professor Amir Ahmad at [email protected] and review the detailed admission requirements on the UAEU website. Key research areas include artificial intelligence, machine learning, deep learning, explainable AI, large language models, radiography, and medical imaging. This opportunity is ideal for students passionate about AI applications in healthcare and seeking to contribute to impactful research in a collaborative, international environment.