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Advertising division: JSC - Jülich Supercomputing Centre
Reference number: 2020-050

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Germany’s largest research organization, the Helmholtz Association, establishes Helmholtz AI - a dedicated, interdisciplinary platform that will research, develop, combine, and promote artificial intelligence (AI) and machine / deep learning (ML/DL) methods nationwide for all Helmholtz centers, in collaboration with its external and university partners. With Helmholtz AI, the Helmholtz Association now has the unique opportunity to leverage its broad long-standing scientific expertise and the large datasets from unique experiments across many fields with state-of-the-art learning algorithms to answer questions with strong impact on society.
Forschungszentrum Jülich (FZJ) is part of Helmholtz AI and implements several new groups that will become foundational building blocks of this new AI research platform together with groups located at other Helmholtz centers. The Jülich Supercomputing Centre (JSC) at FZJ is a research institute that operates one of the most powerful supercomputer infrastructures for scientific and engineering applications in Europe. To advance large-scale ML/DL methods using High Performance Computing (HPC), JSC sets up a Helmholtz AI High Level Support Team (HLST) that will focus on software engineering and research support for ML/DL.

If you are an expert in ML/DL with a strong flair for software engineering and enthusiastic about working with scientists of many domains, and with diverse and unique data and if you are burning for open sharing of knowledge and experience you are the right candidate.

We are looking to recruit a member of HLST

Software Engineer and Researcher Large-Scale HPC Machine / Deep Learning

Your Job:

At JSC, HLST will work close together on setting up Helmholtz AI locally with the research-oriented Cross-Sectional Team Deep Learning (CST-DL) and other groups, pursuing common generic research directions for self-organized continual learning transferable across different tasks and domains. Special focus will be on making use of highly scalable and distributed ML/DL methods on HPC facilities hosted directly at JSC. The activity will be strongly dedicated to principles of open science and open source software, making all the results transparent and all the tools available to scientific communities and public.
Your tasks in detail:

  • Conduct research and open source software development, provide research support for Machine Learning / Deep Learning 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 and ML/DL community
  • Engage in national and international ML/DL communities to spread Helmholtz AI impact
  • Provide and coordinate support to HAICU research community for their scientific projects that involve ML/DL technologies and tools, including symposia, workshop and hackathon organization
  • Assist HSLT in acquiring new research projects and funding, in publishing and presenting research outcomes of the projects supported by HLST, in making documentation for workflows and tools, releasing and maintaining open source software

Your Profile:

  • Master or Doctorate degree in computer science, machine learning, mathematics, physics or a related subject
  • Research experience in ML/DL field, documented in either your dissertation, peer-reviewed publications, project experience or participation in top conferences (NeurIPS, ICLR, ICML, etc)
  • Practical experience with ML/DL toolchains and workflows documented in either your dissertation, peer-reviewed publications, or project experience
  • Advanced experience with high level programming languages (C++, Python) and best software engineering practices, experience with deploying and maintaining open source software
  • Experience with High Performance Computing (ideally ML/DL related, CPU and GPU-based)
  • Very good knowledge of English in written or spoken form
  • Good communication and presentation skills, ability to network within ML/DL community

Our Offer:

  • Work on frontiers of scientific and technological challenges with access to cutting-edge and unique supercomputing systems (e.g, also quantum computers like D-WAVE)
  • Become a foundational and fundamental member of one of the biggest AI initiatives in Germany
  • 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
  • Limited for 2 years with clear possible longer-term prospects (long-term HAICU funding already set and confirmed)
  • Flexible working hours and various opportunities to reconcile work and private life
  • 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 (TVöD)


Forschungszentrum Jülich promotes equal opportunities and diversity in its employment relations.

We also welcome applications from disabled persons.

Additional Information

The job will be advertised until the position has been successfully filled. You should therefore submit your application as soon as possible. We look forward to receiving your application via our
Online-Recruitment-System!

Questions about the vacancy?
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