The data reduction pipelines within the European Southern Observatory (ESO) are used for the quick-look assessment of data; the health-monitoring of instruments /detectors; the generation of master calibration data; the reduction of scientific exposures; and data quality control.
This project involves the preparation of data reduction procedures in the framework of the new High-Level Data Reduction Library (HDRL). The procedures and algorithms have to be implemented in ANSI-C and with the ESO-CPL library
The ideal person is a scientist / software engineer with …
- minimum 3 years experience in developing scientific data processing applications in ANSI-C..
- good knowledge of processing and statistical handling of scientific data.
- Experience of developing software within a Unix/Linux environment.
- Experience of modern software development tools and practices (version control, development environments, debuggers, profilers).
- Excellent knowledge of image and signal processing methods;
- Good knowledge of the Python programming language;
- Knowledge of astronomical instrumentation and observational techniques in astrophysics (imaging, adaptive optics, spectroscopy) and the related data reduction methods will be an asset.
- Experience with multi-threaded programming will be an asset.
The work will start in July 2015 for a minimum of 3 years (possibly 5 years) duration. The working location is Munich, Germany. The working language is English.
If you are interested in this role please contact Rod Stevenson on rste@informate.be or +32-477-321185 BEFORE 6th February 2015