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University of Southern Denmark

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Postdoctoral Research Fellowship in Neuro-morphic Reinforcement Learning at University of Southern Denmark University of Southern Denmark in Denmark

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available
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Country

Denmark

University

University of Southern Denmark

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Keywords

Computer Science
Mathematics
Probabilistic Modeling
Reinforcement Learning
Robotics
Statistics
Physics
Machine learning

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About this position

The SDU Adaptive Intelligence Lab (ADIN Lab) in the Department of Mathematics and Computer Science (IMADA), University of Southern Denmark is inviting applications for a postdoctoral research fellowship in neuro-morphic reinforcement learning.

The project sits at the intersection of deep reinforcement learning, probabilistic modeling, spiking neural networks, and adaptive control. The successful candidate will work on the algorithmic and theoretical foundations of reinforcement learning for complex, high-dimensional dynamical systems, with a focus on robust and adaptive control under uncertainty and non-stationarity. The role includes proving theoretical guarantees such as convergence, stability, and sample complexity, and translating those ideas into scalable simulation implementations for adaptive robotic systems and embodied AI.

Eligibility highlights: a PhD in Computer Science, Mathematics, Statistics, or Theoretical Physics by the time of employment; at least two first-author papers in top machine learning venues (e.g., NeurIPS, ICML, ICLR, AISTATS); strong theoretical background in reinforcement learning; and excellent programming skills in Python, PyTorch, or JAX. Experience with probabilistic machine learning, distributional RL, or bio-inspired neural architectures is a plus. Strong English communication skills are required.

The position is a two-year postdoctoral fellowship and is expected to start earliest 1 October 2026. The post does not mention a deadline in the text provided, so applicants should follow the linked application page for the current closing date and submission instructions.

Apply via the official link provided in the post.

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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