Beschreibung
Aufgaben:The Pipeline Systems Group of our customer 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 the 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 the VLT pipelines, and the implementation of these parts in ANSI-C with the CPL library, as well as the development of Reflex scientific workflows using Python.
erforderliche Kenntnisse:
The ideal consultant is a software engineer with experience and sufficient expertise (typically minimum 3 years) in developing scientific applications in ANSI-C/C++. He or she has also good working knowledge of the scripting language Python and optionally Perl. The candidate should be used to work in a Unix/Linux environment. He shall also have sufficient expertise with modern software engineering practices and tools, including SVN, GNU autotools, debuggers, unit and regression testing. Moreover, he/she should be familiar with the continuous integration tool Jenkins and with release management and installation systems.
He or she 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:
University degree in Computer Science, Physics, Electrical Engineering or equivalent,
sufficient expertise of image and signal processing methods,
statistical handling of scientific data,
excellent command of the English language,
very good oral and written communication skills,
customer orientation,
familiarity with international projects,
a strong sense for quality development.
nice-to-have
Experience with MacOS for software development,
Good knowledge of RPM package creation and distribution as well as experience with MacPorts,
Knowledge of writing astronomical data reduction recipes and experience with scientific workflows will be a plus.
Knowledge of astronomical data reduction methods and observational techniques.
Experience with multi-threaded programming will be an asset.
Sound knowledge of virtualization such as virtual machines, VMWare, dockers or vagrant is highly desirable.