Your role will interface with the beamline teams and specialist cross disciplinary groups providing functional, reliable, and efficient data analysis solutions to meet the external users’ demanding needs, both during and after an experiment.
- Work closely with beamline scientists and users to improve existing workflows, as well as re-write and refactor current community algorithms and libraries for better performance on HPC clusters for the flagship SLS 2.0 beamlines.
- Set up a testing and monitoring environment for easy integration, benchmarking, and tuning of new algorithms.
- Identify and assess data analysis needs and requirements for SLS 2.0. Evaluate current best practice and performance tradeoffs on existing SLS beamlines and related scientific domains
- Contribute to other ongoing efforts such as the overarching Controls and Science IT services and infrastructure for SLS 2.0.
- Collaborate with colleagues with similar functions at the PSI facilities along with leading national and international institutions and consortia.
- Prior experience in the analysis and reduction of large-scale experiment data, and/or image processing with/without machine learning and artificial intelligence.
- Experience on characterizing and improving the performance of scalable algorithms.
- Experience on integrating and deploying workflows and software on HPC clusters.
You hold a PhD degree (or equivalent practical experience) in computer science or in natural science with an emphasis in computer science, HPC, or data science. You are a good listener and a strong team player with excellent communication skills and sense of responsibility, fluent in English, speak German (an advantage not a must) or willing to learn it.
Please submit your application online by 5 September 2021 for the position as a Software Scientist/Data Analysis Services (index no. 7901-00).