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Universiteit Amsterdam welcomes applications for a two-year Postdoctoral position in Reinforcement Learning for Stochastic Optimization. The candidate is expected to conduct high-quality research
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at finale.seas.harvard.edu and our group’s webpage https://dtak.github.io/ We work on probabilistic models, reinforcement learning, and interpretability + human factors. Basic Qualifications Candidates are required to have
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Research assistant in the field of Reinforcement Learning Theory. Department of Economics and Business. University Pompeu Fabra (Ref. ECON-PSR-INDF-2026-09) Tasks to be performed Contribute to the «SCALER
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of senior researchers, the individual will help apply machine learning methods, with a focus on reinforcement learning, to mathematical problem solving. The role emphasizes hands-on experimentation
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STUDENT INSTRUCTOR POSITION(S) AVAILABLE AVAILABLE JOB POSTING: FOR MASTER?S STUDENT COURSE: SIADS 644 - Reinforcement Learning Algorithms COURSE SCHEDULE: April 1, 2026 - April 28, 2026 Number of available
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Description The Deep Learning laboratory in the Division of Science, New York University Abu Dhabi, seeks to recruit a research assistant to work on Deep Reinforcement Learning (DRL). The successful
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and measurement noise. • Developing predictive control strategies based on reinforcement learning or hybrid approaches compatible with real-time adaptive optics constraints. • Proposing and
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Australia’s future change-makers and create a better tomorrow. Work that matters Contribute to cutting-edge research in AI-enabled satellite autonomy, developing reinforcement learning solutions for real-time
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Investigator, this role is part of a leading AI research group specialising in reinforcement learning and intelligent systems. The team is focused on producing world-class research while collaborating with
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reinforcement learning Enhancing transparency and contestability of decision-making processes, taking a multimodal approach to reveal the reasoning behind complex AI-driven planning and learning algorithms