ph3Job Title /h3 pMaster Student for Automated Performance Profiling for HPC Earth Science Applications (R0) /p h3Start Date /h3 pASAP /p h3Closing Date /h3 pFriday, 31 July 2026 /p h3About the Role /h3 pPart‑time position for a final‑year master’s student to complete their TFM through contributing a project at the High Performance Computing for Earth Sciences (HPC4ES) team of the Computational Earth Sciences (CES) group within the Earth Sciences department at BSC. /p pThe project aims to develop a novel, automated profiling pipeline for CI/CD integration within the Automatic Performance Profiling tool, combining existing BSC tools with new developments to generate a trace using Extrae, process it to extract performance metrics via Folding, and develop Python scripts for automation and analysis. /p pPrimary responsibilities include developing methods for automatically cutting traces, building and integrating the profiling pipeline, and reporting performance metrics. /p h3Key Duties /h3 ul liDevelop Python scripts to automate trace processing and performance analysis workflows. /li liDesign and implement a method to automatically cut Extrae traces to selected iterations. /li liIntegrate BSC profiling tools, including Extrae and Folding, into the Automatic Performance Profiling pipeline. /li liExtract, validate and report detailed performance metrics suitable for future CI/CD integration. /li /ul h3Requirements /h3 pbEducation /b /p ul liStudent in Computer Science or related discipline.



/li /ul pbEssential Knowledge and Professional Experience /b /p ul liExcellent development skills in Python. /li liGood software engineering practices. /li /ul pbAdditional Knowledge /b /p ul liExperience with version control using Git in a distributed team. /li /ul pbCompetences /b /p ul liExcellent problem‑solving skills with a proactive approach. /li liWillingness and capacity to learn about new technologies and procedures. /li liCapacity to work and communicate in an international and interdisciplinary environment. /li liExcellent written and verbal communication skills. /li liAbility to take initiative, prioritise and work under set deadlines and pressure. /li liAbility to work both independently and within a team. /li liFluency in English. /li /ul h3Conditions and Benefits /h3 ul liLocation: BSC, Earth Sciences Department. /li liContract type: Full‑time (35h/week) with versátil working hours. /li liDuration: Open‑ended contract linked to project and budget. /li liHolidays: 22 days of holidays + 6 personal days + 24th and 31st of December per collective agreement. /li liSalary: Competitive, commensurate with qualifications and experience, based on cost of living in Barcelona. /li liBenefits: State‑of‑the‑art infrastructure, extensive training plan, restaurant tickets, private health insurance, relocation support. /li liStarting date: ASAP. /li /ul pBSC-CNS is an equal opportunity employer committed to diversity and inclusion. /p /p #J-18808-Ljbffr

📌 Master Student for Automated Performance Profiling for HPC Earth Science Applications (Barcelona)
🏢 Barcelona Supercomputing Center
📍 Barcelona