HPC Data Scientist - Application-Oriented and Operational Data

Forschungszentrum Jülich

Jülich, Germany • Full-time • Hybrid • No Salary Information Available

Overview

At the forefront of computational research, the Jülich Supercomputing Centre boasts one of Europe’s leading supercomputing facilities, including JUPITER, Europe's first exascale system. The centre continuously optimises applications for scientific research across the continent. By joining the ‘Application Optimization and User Service Tools’ lab, candidates contribute to pioneering tasks that support users in maximising HPC system capabilities.

Responsibilities

• Analyse monitoring, application‑focused, and operational data utilizing data science expertise.
• Introduce new analytical perspectives through advanced statistical methods.
• Organise and interpret complex data from various sources, generating clear results visualisations.
• Work closely with project partners, collaborating with system software and application developers.
• Extend and analyse system benchmarks using synthetic benchmarks and application codes.
• Identify optimisation opportunities, focusing on architecture‑specific scaling and performance strategies.
• Provide HPC support and respond to user queries.
• Present findings at collaboration meetings, workshops, and conferences.

Benefits

• Work on significant issues impacting society within one of Europe’s largest research centres.
• Access to comprehensive training and personal/professional development opportunities.
• Robust company health management programmes.
• Family‑friendly policies and ideal conditions for work‑life balance.
• Flexible working hours with the possibility of remote work.
• 30 days of annual leave plus additional days off between holidays.
• Opportunity for extended employment beyond an initial fixed term of 2 years.

Requirements

• Master’s degree in technomathematics, computer science, engineering, physics, mathematics, or related field.
• Proficiency in advanced statistical methods for large data‑set analysis.
• Experience with HPC systems, parallel/distributed computing, and diverse architectures.
• Proficient in Unix‑based operating systems.
• Programming skills in languages such as SQL, Git, Python, Perl, JavaScript, HTML+CSS.
• Excellent English communication skills.
• Ability to collaborate in a multidisciplinary team environment.

Preferred Qualifications

• Experience with HPC programming (C/C++, Fortran, MPI, OpenMP, GPU programming).
• Experience in supporting application developers.
• Knowledge of the German language.

The position aligns with the Collective Agreement for the Public Service (TVöD‑Bund), offering competitive salary and social security benefits. The role fosters a diverse, inclusive, and equal‑opportunity environment to realise potential, welcoming applicants from various backgrounds.