Quantized Reinforcement Learning: Discrete World Models & Theory

Syddansk Universitet (University of Southern Denmark - SDU); Odense; On-site; DKK 430,000 - 520,000; Full time

Job summary

University of Southern Denmark's ADIN Lab invites applications for a two-year postdoctoral fellowship in quantized reinforcement learning, to be filled by 1 November 2026. The project targets embodied quantization, discrete world models, and uncertainty-aware RL with non-stationary latent spaces.

Applicants should have a PhD and a strong publication record. Join a vibrant team in Odense under IMADA, collaborating to publish at NeurIPS/ICML/ICLR/AISTATS and contribute to teaching duties.

Qualifications

• PhD in relevant fields at employment time.
• Two first-author papers in flagship ML venues (NeurIPS/ICML/ICLR/AISTATS).
• Strong theoretical grounding in statistical learning and RL; capable of analysis of regret/convergence.

Responsibilities

• Publish in top ML venues and contribute to ADIN Lab output.
• Develop and benchmark quantized RL algorithms and world models.
• Fulfill standard teaching assistant duties as part of the position.

Skills

Python

PyTorch/JAX

Theoretical understanding

Communication in English

Education

PhD in Computer Science

PhD in Mathematics

PhD in Statistics

PhD in Theoretical Physics

Tools

Public repositories

Job description

University of Southern Denmark's ADIN Lab invites applications for a two-year postdoctoral fellowship in quantized reinforcement learning, to be filled by 1 November 2026. The project targets embodied quantization, discrete world models, and uncertainty-aware RL with non-stationary latent spaces.

Applicants should have a PhD and a strong publication record. Join a vibrant team in Odense under IMADA, collaborating to publish at NeurIPS/ICML/ICLR/AISTATS and contribute to teaching duties.