PT Prof (APTPUO) - DTI6402 A - Winter 2027
Core
Teach 'Affective and Persuasive Computing' to engineering students, focusing on emotion recognition, AI, and human-computer interaction.
Role type
Regular Part-Time Professor (IC)
Builds
Course content and delivery for the School of Engineering Design and Teaching Innovation
Domain
Higher Education / Artificial Intelligence / Affective Computing
Deliverable
product features
Required skills
PhD in Digital Transformation/Engineering/CS, affective computing, AI, machine learning, human-computer interaction, emotion recognition algorithms, deep learning, physiological signal processing, facial expression analysis, speech analysis, text analysis, multimodal data fusion, neural network architectures, persuasive technology design, serious games, virtual reality, digital health, Python, TensorFlow, Pytorch
Preferred skills
Large language models, multimodal AI systems, university-level teaching experience, research contributions in affective computing or AI
Technologies
Python, TensorFlow, Pytorch, Deep Learning frameworks
Responsibilities
Deliver lectures and instruction on affective and persuasive computing topics, develop course materials, assess student learning, conduct research in AI and human-computer interaction
Seniority
Senior, hands-on IC
