We have a new opportunity for someone to work on the REDML project to reduce high volume experimental data using machine learning as part of an initiative between the Swiss Data Science Center, the Swiss National Supercomputing Center and the Paul Scherrer Institut.

The role will be centered on science use cases, the first of which will be the real time reduction of diffraction data directly from detectors. The goal of this use case would be the eventual reduction of raw data with the application of ML that will surpass current algorithms in both accuracy and speed.

Further details available at:
Application Deadline: 23 August 2020


Dr Alun Ashton, Head of Science IT
Paul Scherrer Institut
WHGA/036, Forschungsstrasse
5232 Villigen, PSI, Switzerland
Phone: +41 56 310 4481