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Pre-Announcement Data Scientist/Astronomer SRC A-007

Pre-Announcement Data Scientist/Astronomer SRC A-007

Pre-Announcement Data Scientist/Astronomer SRC A-007

Pre-Announcement Data Scientist/Astronomer SRC A-007

Deutsches Zentrum für Astrophysik (DZA)

Internet, IT

Görlitz

  • Art der Beschäftigung: Vollzeit
  • 51.000 € – 70.000 € (von XING geschätzt)
  • Vor Ort
  • Zu den Ersten gehören

Pre-Announcement Data Scientist/Astronomer SRC A-007

Über diesen Job

Job Description

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 :

  • Involvement with the activities and implementation of data analyzes and management softwares for the SKAO
  • Active participation in the SKA Regional Center Network (SRCNet)
  • Implementation of efficient avenues of computation, eg, through DASK/xarrays, casacore, GPU-based imaging of visibilities, etc., and exploitation of novel data science techniques, eg, Bayesian methods, machine learning, data provenance, etc.

Core Requirements:

  • A PhD in Data Science, Mathematics, Astrophysics or equivalent field of research.
  • Experience with data science related to chunking/striping of large data arrays, efficient array manipulations and FFT algorithms, MPI, etc. Proficiency in CPU-based programming, eg, C, C++, FORTRAN, python, java. Experience with GPU programming is desirable.
  • Familiarity with workflow managers, eg, CWL, AirFlow, REANA, Stimela, or experience with (semi)automated handling of large-datasets, networking and authentication protocols.

The following position will be advertised shortly. You can already submit your application to us.

Shape the financial future of the DZA in Görlitz. Discover diverse job opportunities in the field of radio astronomy.

Core tasks:

  • Participation in the projects and implementation of data analysis and management software for SKAO
  • active participation in the SKA Regional Centre Network (SRCNet)
  • Implementation of efficient computing solutions, e.g. using DASK/xarray, GPU-based mapping of visibilities, etc., as well as the use of novel data science methods, e.g. Bayesian methods/Bayesian statistics, machine learning and data provenance, etc.

Key requirements:

  • PhD in data science, mathematics, astrophysics or an equivalent field of research
  • Experience in data science, particularly in chunking/striping large data arrays, efficient array processing, FFT algorithms, MPI, etc. Solid programming skills in CPU-based programming languages ​​such as C, C++, FORTRAN, Python, and Java. Experience in GPU programming is desirable.
  • Familiarity with workflow managers such as CWL, Airflow, REANA, Stimela or experience in (semi-)automated handling of large datasets as well as with network and authentication
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