Description
DTU Compute is hiring a fully funded postdoctoral researcher for a two-year position focused on probabilistic machine learning, uncertainty quantification, active inference, and sequential decision-making under uncertainty. The researcher will develop and evaluate models and algorithms, apply them to real-world use cases such as dynamic pricing, publish research results, collaborate with other scientists, and contribute to teaching and supervision. Applicants must have a PhD or equivalent in a relevant field, strong probabilistic machine learning and deep learning expertise, Python and modern machine-learning-framework skills, and experience with HPC or GPU environments. The position is full-time, starts as soon as possible subject to mutual agreement, and is based on the Danish collective agreement with possible negotiated supplements.
