- Lead and where necessary take responsibility for the design, implement and eventual support of the RED-ML collaboration, architecture and integration into PSI infrastructure
- Work on the RED-ML use cases and with domain experts to inform an architecture for data reduction as part of the end-to-end architecture being developed for Swiss Light Source SLS 2.0
- Adapt and implement software as required to operate in the PSI local and distributed environment
- Lead on the identification of an assessment of data-reduction methodologies and datasets for training and verification
- Implement and test target architecture and confirm operations with data owners with eventual handover to pilot operations
- Work closely with colleagues of similar function at the PSI SLS 2.0 and SwissFEL along with leading national and international institutions
Software Scientist Machine Learning
Paul Scherrer Institute has a vacancy for a Software Scientist Machine Learning to play a key role in finding novel ways of applying machine learning to reduce high volume over 18 GB/s experiment data
- Closing date: 23 Aug 2020
- Switzerland | Paul Scherrer Institute
- Date posted: 27 Jul 2020
- Job type: Research facilities
- Disciplines: Computational science & software engineering | Accelerators, neutron & light sources
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