D03D-26-02 Research Scientist - Astrophysical Services & Federated Data Workflows (PUNCH4NFDI / NFDI)
Role details
Job location
Tech stack
Job description
(Depending on personal qualifications, up to pay grade E 13 according to the German federal pay scale - TVöD Bund)
The position is subject to final approval of external funding and will be filled contingent upon the confirmation of the consortium PUNCH4NFDI.
Shaping the Future of the National Research Data Infrastructure
The DZA is a co-applicant in the consortium PUNCH4NFDI, contributing to the development of the National Research Data Infrastructure (NFDI). Within this nationally coordinated initiative, we are actively involved in the work package "Compute Infrastructures", addressing the access to distributed computing resources, including HPC, cloud, and accelerator-based systems
We invite applications for a Research Scientist to advance innovative methods for enabling remote, scalable analysis of large datasets by moving computation to where the data reside.
YOUR TASKS:
- Design and implement scalable code-to-data and federated workflow services
- Develop interoperable interfaces enabling cross-archive queries and data access
- Integrate AAI, accounting, and container/version tracking into astrophysical workflows
- Contribute to architectures supporting reproducible and traceable data-product evolution
- Optimize workflows for distributed HPC and cloud environments
- Collaborate with national partners within PUNCH4NFDI and the broader NFDI framework
- Publish results and contribute to community standards and best practices
- Participate in scientific meetings, workshops, and collaborative research activities
Requirements
Do you have experience in Python?, Do you have a Master's degree?, * Completed Master's and PhD in astronomy, physics, computer science, engineering, or a related discipline (or equivalent experience)
- Demonstrated expertise in at least one of the following areas:
o High-performance computing (HPC)
o Big data archives and distributed data systems
o Advanced data management tools and infrastructures
o Cloud computing and federated services
- Strong programming skills (e.g. Python, C/C++, or comparable languages)
- Experience with container technologies (e.g. Docker, Singularity) and workflow orchestration
- Experience in designing scalable services for large scientific datasets
- Familiarity with distributed authentication systems and federated infrastructures is an advantage
- Ability to work independently and collaboratively in interdisciplinary, distributed teams
- Strong analytical and problem-solving skills
- Excellent communication skills in English
Benefits & conditions
Pulled from the full job description
- Flexible schedule, * The opportunity to help build the largest astrophysics research centre in Germany
- A challenging and diverse scientific position in an international research environment
- The opportunity to actively contribute to the scientific development of the DZA in Upper Lusatia
- An interdisciplinary, collegial, and research-oriented team
- Remuneration according to the TVöD Bund (E 13), including annual bonus and other public service benefits
- Flexible working hours, family-friendly conditions, and options for part-time employment