Postdoktor i lärande, reglerteknik, och spelteori
Core
Developing mathematical foundations and computational methods for analyzing, learning, and coordinating complex feedback systems involving dynamic environments, algorithmic decision-makers, and strategic/adaptive agents.
Role type
Postdoctoral researcher (AI, control theory, game theory)
Builds
Intelligent systems that are more effective, sustainable, resilient, and reliable through insights from feedback-based decision-making.
Domain
Artificial Intelligence, Autonomous Systems, Control Theory, Game Theory, Optimization
Deliverable
research
Required skills
applied mathematics, system and control theory, game theory, machine learning, optimization, decision-making, analytical reasoning
Preferred skills
recent PhD (within 3 years), teaching experience, mentoring experience
Technologies
mathematical modeling, computational methods, simulation environments
Responsibilities
Model, analyze, and design interconnected systems; investigate stability, identifiability, performance, and robustness; collaborate in interdisciplinary research environments; present research results.
Seniority
Postdoctoral researcher (early-career IC)
