Supporting Self-Regulation Learning Using Dynamic Bayesian Networks

Candidate Profile
The candidate should hold a Master 2 degree or an Engineer degree (Bac+5) in Computer Science, with a good background in Machine Learning and Data Science.
Recruitment requirements:
- Good knowledge in Bayesian Networks or Probabilistic Graphical Models is appreciated.
- Good relational skills.
- High interest for research in Artificial Intelligence and E-Education (AIED) domains.