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Dr O Oebode

1 year ago

Highly Personalized and User-Adaptive Persuasive Systems for Health Promotion Dalhousie University in Canada

Degree Level

PhD

Field of study

Computer Science

Funding

Fully Funded

Deadline

Expired

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Country

Canada

University

Dalhousie University

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Keywords

Computer Science
Machine Learning
Public Health
Behavioral Science
Psychology
Artificial Intelligence
Human-computer Interaction
Software Engineering
Clinical Informatics

About this position

Persuasive systems are interactive systems (such as mobile, web, virtual reality, and augmented reality apps and games) designed to promote desirable behaviours or discourage risky behaviours without coercion or deception. My research intersects Human-Computer Interaction, Artificial Intelligence (AI), and Persuasive Computing to design, develop, and evaluate next-generation persuasive systems that are AI-powered, highly personalized, user-adaptive, and more effective at motivating and promoting desirable behaviours in individuals and groups across diverse health domains including disease prevention and management, physical activity, and mental health.

I am looking for candidates with strong background in software development and AI techniques including machine learning, deep learning, and natural language processing. Past experience with research and development projects involving building and deploying AI models, along with developing interactive systems that integrate these models, is a plus.

Accepting: PhD and MCS students

Express your interest in working with Dr. Oladapo Oyebode .

When contacting us about your interest in a particular professor or fellowship, please include your:

  • Research interests
  • Past research experience
  • Recent CV

Dalhousie's Faculty of Computer Science offers competitive funding to qualified graduate students and is committed to promoting excellence in research and teaching.

Funding details

Fully Funded

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