The Science Software Systems Group has an immediate opening for a postdoctoral researcher to conduct applied research in the area of high performance scientific data management and processing. The overall objectives for this work are to develop and deploy technologies that automate data movement and sharing from experiment through processing to sharing/dissemination. The project will focus on experimental data being collected at the Advanced Light Source (ALS): moving data to the National Energy Research Scientific Computing Center (NERSC) across the Energy Sciences Network (ESnet), assembling automated processing workflows comprised of a variety of pre-existing and to-be-developed data analysis, manipulation, and visualization tools; stage data, data products, and analysis/visualization products for dissemination to individuals and communities via pre-existing and to-be-developed web-based technologies.
This position will be part of an experienced team conducting R&D in the areas of data-intensive, high performance, visualization, analysis, and data management. The candidate will be working as part of a multi-disciplinary team composed of computer, computational, and experimental scientists.
- Design and implementation of a big data scientific workflow system capable of handling data volumes and complexity of current and next-generation ALS experiments and simulations.
- Design and implementation of a high-performance, large-data, data access and sharing system for ALS experimental data.
- Publish and present research results in journals and conferences.
Please apply or feel free to forward on to others.