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Advertising division: JSC - Jülich Supercomputing Centre
Reference number: 2019-255

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The Jülich Supercomputing Centre (JSC) is a research institute that operates one of the most powerful supercomputer infrastructures for scientific and engineering applications in Europe, situated within Research Center Jülich (FZJ), member of Helmholtz Association.

To advance large-scale machine / deep learning (ML/DL) research with High Performance Computing (HPC), JSC sets up a High Level Support Team (HLST). Focused on software development and research support for ML/DL, HLST will become part of the recently launched Helmholtz Artificial Intelligence Cooperation Unit (HAICU). HAICU is a Helmholtz-wide platform consisting of 6 Helmholtz Research Centers across Germany, FZJ being among them. HAICU aims to reach an international leadership position in basic and applied AI research by combining advanced methods from ML/DL with Helmholtz’ unique scientific questions and data sets - bringing together scientists from all Helmholtz centers, scientific partner institutions and industrial partners and fostering open, transdisciplinary research, with strong dedication to principles of open science and open source. At JSC, HLST will work on setting up HAICU close together with the research-oriented Cross-Sectional Team Deep Learning (CST-DL). The research topics will include large-scale, self-supervised, multi-task continual learning for growing general AI models on modular supercomputers, physics-informed Deep Learning, transfer and few-shot learning for cross-domain applications. Special focus will be on making use of highly scalable and distributed ML/DL methods on HPC facilities hosted at JSC.

We are looking to recruit members of HLST

Two Researchers and HPC Software Engineers for Deep / Machine Learning

Your Job:

  • Define and conduct research; concept, drive, coordinate and implement open source software development and research support activities for Machine Learning / Deep Learning (ML/DL) and related methods with focus on large-scale HPC applications
  • Work close together with Cross-Sectional Team Deep Learning based at JSC to define and push forward common long-term research goals and open software libraries, platforms and data services with high usability and impact across domains,ML/DL and broad scientific community
  • Provide and coordinate support to HAICU research community for their scientific projects that involve ML/DL technologies and tools, including symposia, workshops, lectures, tutorials and hackathon organization
  • Conduct your own research, acquire new research projects and funding, publish and present findings and research outcomes of your own research and of the projects supported by HLST

Your Profile:

  • Excellent Master or Doctorate degree in computer science, machine learning, mathematics, physics or a related subject
  • Research experience and profound knowledge in ML/DL field, documented in your dissertation, peer-reviewed publications, project experience, participation in top conferences (NeurIPS, ICLR, ICML, etc)
  • Practical experience with ML/DL toolchains and workflows documented in your dissertation, peer-reviewed publications, or project experience
  • Advanced experience with high level programming languages (C++, Python) and best software engineering practices
  • Experience with High Performance Computing (ideally ML/DL related, CPU and GPU-based)
  • Very good knowledge of English in written or spoken form
  • Ability to present your work at international conferences

Our Offer:

  • Work on frontiers of scientific and technological challenges with access to cutting-edge and unique supercomputing systems
  • Develop your academic career and engage in the supervision of students in the highly diverse fields.
  • If desired, option towards obtaining a PhD degree can be offered in frame of Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE) that provides an interdisciplinary environment for educating the next generation of data scientists in close contact to domain-specific knowledge and research. Application to HDS-LEE is possible after PhD topic is defined.
  • Freedom to work on your own research questions for a substantial fraction of your working time
  • Outstanding research and computing infrastructures in one of Europe’s largest supercomputing facilities
  • A comprehensive further training program
  • Flexible working hours and various opportunities to reconcile work and private life
  • Limited for 2 years with clear possible longer-term prospects (long-term HAICU funding already set and confirmed)
  • Full-time position with the option of slightly reduced working hours
  • Salary and social benefits in conformity with the provisions of the Collective Agreement for the Civil Service (100% TvöD, Level 13-14, depending on prior experience)


Forschungszentrum Jülich aims to employ more women in this area and therefore particularly welcomes applications from women.

We also welcome applications from disabled persons.

Additional Information

We look forward to receiving your application, preferably Online-Recruitment-System! via our online recruitment system on our career site until 31.01.2020, quoting the above-mentioned reference number.

Questions about the vacancy?
Contact us by mentioning the reference number 2019-255: career@fz-juelich.de
Please note that for technical reasons we cannot accept applications via email.