PhD Scholarship in Machine Learning for Non-Stationary and Non-Static Nano-Tomography - DTU Compute
DTU, Danmarks Tekniske Universitet · Kgs. Lyngby, Denmark
The PhD researcher will develop machine-learning methods for X-ray nano-tomography at DTU Compute. The work focuses on reconstructing 3D and 4D sample representations while accounting for acquisition-position uncertainty and changes in sample shape over time.
About the role
In this fully funded PhD project at DTU Compute, you will develop novel learning-based methods for X-ray nano-tomography.
The central challenge is to reconstruct accurate 3D and 4D representations of samples while accounting for positional uncertainties during image acquisition and changes in sample shape over time.