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The Stanford Synchrotron Radiation Lightsource (SSRL) at SLAC National Accelerator Laboratory has an opening for a Project Engineer with expertise in controls engineering and Python-based real-time data handling. You will unify and extend open source tools, develop data analysis pipelines, and contribute to autonomous experimentation at the synchrotron.
You’ll work with leading researchers to deploy machine learning for autonomous data analysis and experimental control, with responsibilities
The Stanford Synchrotron Radiation Lightsource (SSRL), a directorate of the Stanford Linear Accelerate (SLAC) National Laboratory has an opening for a Project Engineer with experience in controls engineering, data collection frameworks, software development and deployment. SSRL is developing and implementing controls systems software based on Python to enable real time data handling to support in-situ, operando, and ultimately autonomous experimentation at the synchrotron. In this role, you will apply your engineering and software skills to work with the world’s leading research groups developing new materials to solve global energy challenges. This position will serve to unify, implement, and test existing free open source software tools, and also to extend the functionality of existing tools and contribute them back to the community. Development will be driven by current scientific focus of SSRL with a primary focus on developing data analysis pipelines and autonomous control approaches for x-ray scattering, diffraction, absorption, and imaging problems. Objectives will include readying existing beamlines for the deployment of machine learning algorithms that will be used for autonomous data analysis and experimental steering and are expected to lead to publication of scientific research employing these tools.