Casus Professional Support

vor 2 Monaten


Dresden, Deutschland Helmholtz-Zentrum Dresden-Rossendorf Vollzeit

As a member of the Helmholtz Association of German Research Centers, the HZDR employs about 1,500 people. The Center's focus is on interdisciplinary research in the areas: energy, health and matter.

The Center for Advanced Systems Understanding (CASUS)is a German-Polish research center for data-intensive digital systems research. We combine innovative methods from mathematics, theoretical systems research, simulations, data science, and computer science to provide solutions for a range of disciplines - materials science under ambient and extreme conditions, earth system research, systems biology, and autonomous vehicles.

CASUS was jointly founded in August 2019 by theHelmholtz-Zentrum Dresden-Rossendorf, the Helmholtz Centre for Environmental Research, the Max Planck Institute of Molecular Cell Biology and Genetics, the Technical University of Dresdenand the University of Wroclaw. CASUS is located in the heart of Görlitz at the border between Germany and Poland. The CASUS start-up phase is hosted by the Helmholtz-Zentrum Dresden-Rossendorf and is financed by the Federal Ministry of Education and Researchand the Saxon State Ministry of Science and Art.

**The Scope of Your Job**:
Applicants will work on the setup, development, deployment, maintenance and support of backend infrastructure for cloud-based data repositories and data analytics platforms. Applications using the cloud backend range from AI analytics on federated patient data to large-scale open ecosystem data and analytics platforms. The cloud architecture will be developed and maintained within the framework of the Helmholtz Infrastructure for Federated IT Services (HIFIS) in close collaboration with the local HIFIS support team. The cloud hardware infrastructure consists of many-core CPU nodes, GPU nodes and storage nodes as well as the accompanying server and network infrastructure and is located on HZDR premises.

Applicants will be part of the CASUS Professional Support team and work in close collaboration with the HZDR Department of Information Services and Computing.

**Your tasks**:

- Develop, set up, deploy and maintain cloud backend architectures for federated data repositories
- Develop, set up, deploy and maintain cloud backend architectures for federated data analytics platforms, including scalable solutions for Machine Learning and Artificial Intelligence workflows
- Support scientists and other users in using the cloud solutions

**Your profile**:

- An excellent Master´s or PhD degree in computer science or equivalent
- A proven track record of at least 1 year in working on cloud backend architectures
- Proven experience in using and administrating Linux-based cloud architectures
- Preferably experience in at least one or more of the following areas:

- Open Stack & subsystems
- Virtualization & containerization
- Kubernetes
- Authentication and Authorization Infrastructure
- Federated services infrastructure
- Continuous Integration / Continuous Deployment with GitLab/GitHub
- JupyterHub infrastructure deployment and maintenance for data analytics in R and Python as well as for ML/AI workflows
- Scripting and workflow systems
- Relevant programming skills (Python, Bash,)
- Strong motivation to work in a collaborative environment
- Excellent communication skills in English and in a professional context (presentation of results at meetings, colloquial discussions, writing of manuscripts)

**Our offer**:

- A vibrant research community in an open, diverse and international work environment
- Scientific excellence and extensive professional networking opportunities
- A wide range of qualification opportunities and individual career counseling provided by the Postdoc Center HZDR-TUD
- The employment contract is limited to two years with the possibility of longer-term prospects
- Salary and social benefits in accordance with the collective agreement for the public sector (TVöD-Bund) including 30 days of paid holiday leave, company pension scheme (VBL)
- We support a good work-life balance with the possibility of part-time employment, mobile working and flexible working hours
- Numerous company health management offerings
- Employee discounts with well-known providers via the platform Corporate Benefits

**Contact**:
**Place of work**:
Görlitz

**Working hours**:
39 h/week

**Deadline**:15 February 2023

**Job-Id**: 2023/21

**For any questions, do not hesitate to ask**:
Dr. Michael Bussmann Tel.: +49 3581 37523 11,
Mr. Daniel Kotik Tel.: +49 3581 37523 36

Art der Stelle: Vollzeit, Teilzeit, Befristeter Vertrag

Leistungen:

- Betriebliche Altersvorsorge

Arbeitsort: Ein Arbeitsort



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