The main objective is to participate in European research projects focused on data analysis of Cloud and HPC platforms, using machine learning for management. For this, we are looking for a Ph.D. Student to join the DCC group and develop a research line in workload and environment characterization in large-scale systems and supercomputers. The mentioned tasks involve academic efforts such as experimenting with HPDA platforms such as Spark, Cloud and Serverless environments, AI/ML platforms, and communicating research results (writing scientific papers, assisting at scientific conferences, ...). The research will include a joint collaboration with the industry, with mid-term stays abroad.
Key Duties
- Contribution to the development of bigger frameworks for Predictive Analytics
- Functional design and execution of experiments related to HPDA architectures, Cloud, and Serverless
- Design of statistical and ML experiments toward multi-domain cases with large-volume data
- Contribute to collaborations with different international research partners
- Give mutual support to other researchers in the project
Termini per aplicar: Divendres, 16 Juny, 2023
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