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Pre-Announcement Data Scientist/Astronomer, Survey Science A-005

Deutsches Zentrum für Astrophysik (DZA) · Görlitz, SN, DE

Actively hiring Posted 4 months ago

This position will be announced in the near future, but you are already welcome to submit your application. Discover a wide range of job opportunities in the field of Radio Astronomy.

Core Responsibilities:

  • Development and optimization of data orchestration technologies for processing and storage pipelines over multiple computing infrastructure, e.g., large datasets obtained with MeerKAT and its extension, DSA2000, etc.
  • Exploitation of novel data science techniques, e.g., Bayesian methods, machine learning, data provenance, etc.
  • Implementation of efficient avenues of computation, e.g., through DASK/xarrays, casacore, GPU-based imaging of visibilities, etc.

Core Requirements:

  • A PhD in Data Science, Mathematics, Astrophysics or equivalent field of research
  • Familiarity with workflow managers, e.g., CWL, AirFlow, REANA, Stimela, or experience with (semi)automated handling of large-datasets, networking and authentication protocols
  • Experience with utilization of high performance/super computing infrastructure that uses distributed filesystem. Familiarity with Slurm, HTCondor, etc.

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In Kürze wird folgende Stelle ausgeschrieben. Ihre Bewerbung können Sie bereits jetzt an uns richten.

Entdecken Sie vielseitige Stellenangebote im Bereich Radioastronomie.

Kernaufgaben:

  • Entwicklung und Optimierung von Technologien zur Datenorchestrierung für Verarbeitungs- und Speicherpiplines über verschiedene Recheninfrastrukturen hinweg, z.B. für große Datensätze, die mit MeerKat und dessen Erweiterung, DSA2000 usw. gewonnen wurden
  • Nutzung neuartiger datenwissenschaftlicher Methoden z.B. Bayessche Verfahren/Bayessche Statistik, maschinellen Lernens, Data Provenance usw.
  • Implementierung effizienter Rechenlösungen, z.B. mittels DASK/xarray, casacore, GPU-basierter Abbildung von Visibilitäten usw.

Kernanforderungen:

  • Promotion in Datenwissenschaften, Mathematik, Astrophysik oder einem gleichwertigen Forschungsgebiet
  • Vertrautheit mit workflow managers wie CWL, AirFlow, REANA, Stimela oder Erfahrung im (halb-)automatisierten Umgang mit großen Datensätzen sowie mit Netzwerk- und Authentifizierungsprotokollen
  • Erfahrung in der Nutzung von Hochleistungs- bzw. Supercomputing-Infrastrukturen mit verteilten Dateisystemen. Kenntnisse in Slurm, HTCondor usw. sind wünschenswert

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