Research Associate
Core
Developing generative probabilistic forward models of users and environments to study human-computer interaction using Active Inference and model-based reinforcement learning.
Role type
Post-doctoral researcher (Active Inference & HCI)
Builds
Novel interactive systems with sensors and machine learning algorithms working in-the-loop
Domain
Human-Computer Interaction, Active Inference, Model-based Reinforcement Learning
Deliverable
production ML models
Required skills
Active Inference theory, Model-based Reinforcement Learning, Model-based predictive control, sensor modeling, dynamic control modeling, prototyping interactive systems, machine learning algorithm development, empirical research, academic publishing
Preferred skills
HCI theory background
Technologies
Sensors, machine learning frameworks for in-the-loop control
Responsibilities
Build/learn generative probabilistic forward models of users and environments, develop dynamic models for control, prototype new interactive systems with sensors, build machine learning algorithms that work in-the-loop, deliver empirical work and publications
Seniority
Post-doctoral researcher
