PhD Student - Big-Data Analytics Platforms and Genomics (R1)

*Context And Mission
*

The data-centric computing group from the computer science department at the Barcelona Supercomputing Center is searching for 1 PreDoc on high-performance analytic platforms willing to work on an HPDA Orchestration in an EU project for the course 2023-2025.

The main objective is to participate in European research projects focused on managing HPDA platforms and applications in the Genomics domain, along with the Life Science departments (Computational Genomics research group). For this, we're looking for a Ph.D. student to join the DCC group and help in different research tasks on Big Data Analytics platform management, distributed systems, and computing towards use cases on genomics research and datasets. The mentioned tasks involve academic efforts such as experimenting with HPDA platforms such as Spark, Cloud and Serverless environments, AI/ML platforms, and analytics for genomics large-volume processing. The project involves collaborating with genomics researchers and actual use cases and communicating research results (writing scientific papers, assisting scientific conferences, etc.).

*Key Duties
*

• Experimentation with HPDA and AI/ML platforms and applications (e.g., Spark, Docker/Singularity, K8s, ...)
• Contribution to the development of bigger frameworks for Predictive Analytics
• Functional design and execution of experiments related to HPDA architectures and Cloud + Serverless
• Design of statistical and ML experiments toward genomics cases with large-volume data
• Contribute to collaborations with different international research partners
• Give mutual support to other researchers in the project

Requirements

Education

- M.Sc. in computer science or related fields (ICT, Mathematics, ...) or close to finish finishing.

*Essential Knowledge and Professional Experience
*

• Basic skills in Virtualization and Containers
• Basic skills in Data Sciences and Engineering
• Skills in Bash/Java/Python/R languages and scripting
• Basic skills in serverless computing

Additional Knowledge and Professional Experience

• Basic skills in Big Data platforms and technologies (Spark, Ray, Flink, etc...)
• Basic skills in Reproducible Research (Notebooks, GIT, etc...)
• Basic skills in using distributed environments and databases

Competences

• Good communication skills in spoken and written English
• Capacity to contribute to research projects with novel research ideas and analysis
• Capacity to work as a team in a highly collaborative and diverse environment