Your Job:
You will be part of the team mentioned above, and will contribute to the analysis of application-oriented and operational data of our HPC systems supporting the development of the tools used in this context, enhancing the existing infrastructure in preparation for JUPITER.
The main tasks of your position:
- Leverage your technical knowledge of Data Science by analysing monitoring, application-focused, and operational data
- You bring in new analysis perspectives through advanced statistical method
- Analyse complex data sets, structure information from various sources, derive clear findings from them and generate clear visualisation of the results
- Coordinate with our project partners in a deeply intertwined project setup, involving a large team of system software and application developers
- Additional possibility to extend and analyse the results of regular benchmarks of our production and prototype systems and its software stack using synthetic benchmarks and application codes
- Identify optimisation potential, with focus on architecture-specific strategies aiming at scaling and/or performance improvements
- Address user questions, provide HPC support
- Present/publish results in collaboration meetings, workshops and conferences
Your Profile:
- Master degree in Technomathematics or in computer science, engineering, physics, mathematics or natural science or equivalent degree
- Experience with advanced statistical/mathematical methods to analyse large data sets
- Comprehensive experience with HPC system usage, parallel/distributed computing, as well as diverse architectures and understanding of its impact on application performance
- Firm experience in the usage of Unix-based operating systems
- Programming and modern software engineering skills (SQL, Git, Python, Perl, JavaScript, HTML+CSS, etc.)
- Self-motivated personality with very good command of written/spoken English
- Great ability to work in a multidisciplinary team of scientists with heterogeneous backgrounds solving scientifically challenging problems on large computers
- Desirable: Knowledge in standard HPC programming (C/C++, Fortran, MPI, OpenMP, GPU programming, etc.)
- Experience supporting application developers
- German language is an advantage
You don’t need to check all the boxes above to apply to this position. Your scientific curiosity, self-motivation, and team-spirit are most important to us.
Our Offer:
We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change! We support you in your work with:
- Exciting challenges at one of the largest research centers in Europe
- Comprehensive training courses and individual opportunities for personal and professional further development
- Extensive company health management
- Ideal conditions for balancing work and private life, as well as a family-friendly corporate policy
- Flexible working hours in a full-time position (39 hours/week) with the option of slightly reduced working hours
- Flexible work (location) arrangements, e.g. remote work
- 30 days of annual leave and provision for days off between public holidays and weekends (e.g. between Christmas and New Year)
In addition to exciting tasks and a collaborative working atmosphere at Jülich, we have a lot more to offer: https://go.fzj.de/benefits
You will be initially employed for a fixed term of 2 years but with the prospect of longer-term employment. Salary and social security benefits will conform to the provisions of the Collective Agreement for the Public Service (TVöD-Bund), pay group 13, depending on your current qualifications and the precise nature of the tasks assigned to you. All information about the Collective Agreement for the Public Service (TVöD-Bund) can be found on the BMI website: https://go.fzj.de/bmi.tvoed The monthly salaries in euros can be found on page 66 of the PDF download.
We welcome applications from people with diverse backgrounds, e.g. in terms of age, gender, disability, sexual orientation / identity, and social, ethnic and religious origin. A diverse and inclusive working environment with equal opportunities in which everyone can realize their potential is important to us.