Postdoc Position in Quantized Reinforcement Learning

Employment type: FULLTIME.

The SDU Adaptive Intelligence Lab (ADIN Lab) (https://adinlab.github.io/) located under the Data Science and Statistics Section of the Department of Mathematics and Computer Science (IMADA) at the University of Southern Denmark invites applications for a postdoctoral research fellowship position within the field of quantized reinforcement learning to be filled earliest by 1 November 2026 for a period of two years.

About the Project

The project focuses on the theoretical grounding and algorithmic realization of embodied quantization—investigating how continuous sensory inputs are distilled into discrete tokens (such as concepts and objects) to facilitate control in complex environments.

Key responsibilities include bridging high-capacity generative representations and discrete world models with non-stationary, risk-sensitive reinforcement learning theory.

To achieve this, the candidate will develop uncertainty-aware parsimonious world models (e.g., via evidential learning) and prove finite-sample or regret guarantees under non-stationary latent state spaces, validating these algorithms by building scalable prototypes and benchmarking across high-dimensional simulation suites1 …