Søren Hauberg

The Technical University of Denmark (DTU) is seeking a postdoctoral researcher to join Professor Søren Hauberg's group in the field of Bayesian deep learning. The position focuses on advanced topics such as Bayesian models, deep learning, large-scale numerical linear algebra, and differential geometry. The ideal candidate will have a strong background in these areas and a passion for collaborative, team-based research. The group values a supportive and cooperative work environment, emphasizing teamwork and shared scientific progress. Applicants should hold a PhD in computer science, mathematics, statistics, or a closely related discipline. Experience with Bayesian inference, deep learning frameworks, and numerical methods is highly desirable. The position is based at DTU, a leading technical university in Denmark known for its cutting-edge research in machine learning and artificial intelligence. While the post does not specify funding details, postdoctoral positions at DTU are typically fully funded, offering competitive salaries and benefits. Interested candidates are encouraged to review the official job posting for comprehensive information on funding, eligibility, and application procedures. To apply, candidates should visit the DTU job portal and submit their application materials as instructed. This is an excellent opportunity for researchers interested in advancing the state of the art in Bayesian deep learning and contributing to a dynamic, collaborative research group at a top European institution.