University of Southern Denmark
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Postdoc Position in Quantized Reinforcement Learning University of Southern Denmark in Denmark
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full funding availableDeadline
Sep 8, 2026
Country
Denmark
University
University of Southern Denmark

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About this position
Postdoc Position in Quantized Reinforcement Learning at the SDU Adaptive Intelligence Lab (ADIN Lab), part of the Data Science and Statistics Section in the Department of Mathematics and Computer Science (IMADA), University of Southern Denmark.
The project explores quantized reinforcement learning and the theoretical/algorithmic foundations of embodied quantization: how continuous sensory inputs are converted into discrete tokens such as concepts and objects for control in complex environments. The work combines reinforcement learning, statistical learning theory, probabilistic machine learning, evidential learning, model-based RL, and discrete world models, with an emphasis on uncertainty-aware parsimonious models and finite-sample/regret guarantees in non-stationary latent state spaces.
The successful candidate will develop scalable prototypes, benchmark algorithms in high-dimensional simulation suites, and contribute to publications at venues such as NeurIPS, ICML, ICLR, and AISTATS. The role also includes standard teaching assistantship duties.
Eligibility highlights: a PhD or equivalent at the time of employment; at least two first-author papers at flagship ML venues; strong theoretical analysis skills; advanced programming in Python, PyTorch, or JAX; and excellent English communication. Experience with VQ-VAEs, transformers, discrete codebook world models, or related model-based RL methods is highly desirable.
Location: Odense, Denmark, at the main campus of the University of Southern Denmark.
Funding: two-year postdoctoral fellowship, salary under the Danish collective agreement; no fixed stipend amount is stated.
Application: submit the application electronically via the SDU "Apply now" portal. Required documents include a CV, full publication list, and PhD diploma or supervisor statement if the diploma is not yet available. Deadline: 2026-09-08.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
More information can be found here
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