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HPC Software and Community Developer (f/m/d) for Deep / Machine Learning
Veröffentlicht am(vor 38 Tagen)
Bewerbungsende(in 54 Tagen)
Jülich Supercomputing Centre (JSC)Jülich
As a member of the Helmholtz Association, Forschungszentrum Jülich makes an effective contribution to solving major challenges facing society in the fields
of information, energy, and bioeconomy. It focuses on varied tasks in the area of research management and utilizes large, often unique, scientific infrastructure.
Come and work with around 6,100 colleagues across a range of topics and disciplines at one of Europe's largest research centres.
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
HPC Software and Community Developer for Deep / Machine Learning
concept, coordinate and conduct 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 and ML/DL community
engage in national and international ML/DL communities to integrate HAICU activities
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
acquire new research projects and funding, publish and present research outcomes of the projects supported by HLST, document workflows and tools, release and maintain open source software and open ML/DL infrastructures that results from research
Master or Doctorate degree in computer science, machine learning, mathematics, physics or a related subject
research experience and broad expertise in ML/DL field, documented in 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 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
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.
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