Beschreibung
Tasks:
The Pipeline Systems Group of our customers Science Operations Software Department is developing the VLT and VLTI data reduction pipelines for the operational instruments at La Silla Paranal Observatory. The data reduction pipelines are used in two operational environments, by our customers Data Flow Operations at Garching, and by the Paranal Science Operations (PSO), for the quick-look assessment of data, the health-monitoring of instruments and detectors, the generation of master calibration data, the reduction of scientific exposures, and data quality control.
The work involves the preparation of data reduction procedures for our customers VLT pipelines, and the implementation of these parts in ISO C99 with the CPL library as well as the development of scientific workflows.
necessary knowledge:
The ideal consultant is a software engineer with experience and sufficient expertise (minimum of 3 years) in developing astronomical data reduction applications in ISO C99. He or she has also good working knowledge of the Scripting language Python and optionally of Perl. The consultant shall have sufficient expertise with SVN, GNU autotools, unit and regression testing. Moreover, he/she is required to have sufficient knowledge and be familiar with the Linux environment, with the continuous integration tool Jenkins, and with packaging for installation of systems such as RPM and MacPorts.
The consultant will be able to support in any maintenance and development effort, contributing to the entire software life cycle, from analysis to design, coding, documentation and testing, to deployment and maintenance. He or she should be able to operate independently and meet the agreed deadlines.
The consultant is required to have sufficient expertise of image and signal processing methods, as well as statistical handling ofscientific data. He or she has excellent command of the English language, very good oral and written communication skills andflexibility; customer orientation, familiarity with international projects and a strong sense for quality development are also essential.
Education: University degree in Computer Science, Physics, Electrical Engineering or equivalent.
nice-to-have:
knowledge of writing data reduction recipes based on CPL and experience with the customers Reflex environment. Knowledge of astronomical data reduction methods and observational techniques. Experience with virtualization such as virtual machines, VMWare, VirtualBox, or vagrant is an asset.