Deep language models and conversational AI have revolutionized natural language processing by providing semantic vector representations of text (embeddings) and by offering a question-answer style of interaction with text data. My research focuses on designing text mining and NLP pipelines for specific document engineering tasks that take advantage of these new techniques, including the challenges of designing appropriate free-text questions (prompts) to the conversational AI models for a given task and of converting the model’s free-text answer into machine-readable information. Particular text mining domains of interest include administrative text, clinical notes, systematic reviews of the research literature, historical text mining, high-recall information retrieval, and interactive clustering and topic modelling. I seek highly motivated students with strong programming skills and a solid mathematical background. A publication record in any area of machine learning, natural language processing and text mining is desirable. Accepting: Phd studentsExpress your interest in working with Dr. Evangelos Milios.When contacting us about your interest in a particular professor or fellowship, please include your:Research interestsPast research experienceRecent CVDalhousie's Faculty of Computer Science offers competitive funding to qualified graduate students and is committed to promoting excellence in research and teaching.