PhD scholarship in large-scale Bayesian deep learning - DTU Compute

We are seeking a PhD scholar to work on large-scale Bayesian deep learning at DTU Compute. The successful candidate will join a highly motivated team and work on building scalable Bayesian approximations for deep learning. The PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU.

Requirements

• Prior experience with machine learning from both a theoretical and practical perspective
• Experience in one of the following topics: approximate Bayesian inference, differential geometry, numerical computations, or large-scale computations
• Master's degree in computer science, mathematics, or statistics
• Collaborative spirit and ability to work in teams

Benefits

• Attractive salary
• 3-year employment contract
• Opportunity to work in a highly collaborative and international research environment