PhD in Clinical Reasoning and AI in Medical Simulation

This PhD position at Amsterdam UMC explores the intersection of artificial intelligence, simulation-based learning, and clinical reasoning in medical education. The researcher will investigate how AI-driven tools, such as large language models, can scale virtual patient simulations and provide effective feedback when traditional clinical training opportunities are constrained. Responsibilities include conducting literature reviews, designing empirical studies, developing pilot educational modules, and analyzing qualitative and quantitative data. The successful candidate will collaborate with a multidisciplinary team of clinicians, educators, and technical experts to produce high-impact publications and a doctoral dissertation.

• Perform state-of-the-art literature reviews on clinical reasoning, simulation, and artificial intelligence in medical education.
• Draft comprehensive research plans, experimental study protocols, and secure necessary ethical approvals.
• Investigate which aspects of clinical reasoning are best suited for different simulation formats versus real patient encounters.
• Examine the educational effectiveness, reliability, and pedagogical value of AI-generated clinical cases and chatbot-based feedback.
• Design and evaluate pilot educational programs for medical students in collaboration with clinical instructors and educational experts.
• Collect and analyze qualitative and quantitative data from experimental studies.
• Write scientific manuscripts for publication in peer-reviewed national and international journals and compile them into a PhD dissertation.
• Present research findings at national and international academic conferences.
• Complete doctoral school courses and contribute to teaching or student supervision activities.