The High Performance Computing research group at the University of Basel, Switzerland (lead by Prof. Florina Ciorba) is seeking a highly talented and motivateddoctoral or postdoctoral researcher, or research software engineer to conduct high-quality research, publish in top venues, and pursue a doctoral degree or further their research training in Computer Science, with a focus on HPC. The position is fully funded (100%) for 4 years (PhD student) or 2 years (postdoc/RSE) in the context of the EU project “DAPHNE: Integrated Data Analysis Pipelines for Large-Scale Data Management, HPC, and Machine Learning” .
The DAPHNE project gathers the expertise of 13 distinguished academic and industrial partners from 7 European countries. The goal is to define and build an open and extensible system infrastructure for integrated data analysis pipelines, including data management (DM) and processing, HPC, and machine learning (ML) training and scoring. Although the hardware stacks of clusters and provisioned clouds for DM, HPC, and ML converge rapidly, programming paradigms, cluster resource management, and data formats differ substantially across DM, HPC, and ML software stacks. However, there is a trend toward complex data analysis pipelines that combine these different stacks. In the DAPHNE project, the consortium will systematically investigate the necessary system infrastructure, language abstractions, compilation, and runtime techniques, systems, and tools needed to increase productivity when building such data analysis pipelines, eliminating unnecessary performance bottlenecks.
You will be developing and applying hierarchical scheduling solutions for pipelines and workflows originating in mixed DM, HPC, and ML workloads, with emphasis on hierarchical topology-aware task and data placement, non-uniform memory access awareness, and performance optimization in multi-tenant resource sharing scenarios.
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