DevOps Engineer (Research and Development Specialist)
University of Luxembourg
Esch-sur-Alzette, Luxembourg
il y a 6j

About the University

The University of Luxembourg aspires to be one of Europe’s most highly regarded universities with a distinctly international and interdisciplinary character .

It fosters the cross-fertilisation of research and teaching , is relevant to its country, is known worldwide for its research and teaching in targeted areas, and is establishing itself as an innovative model for contemporary European Higher Education.

It s core asset is its well-connected world-class academic staff which will attract the most motivated, talented and creative students and young researchers who will learn to enjoy taking up challenges and develop into visionary thinkers able to shape society.

The Luxembourg Centre for Systems Biomedicine (LCSB) is an interdisciplinary research centre at the University of Luxembourg.

LCSB develops and applies systems-level approaches to gain insight into the molecular and cellular mechanisms of human diseases.

Experimental and computational approaches are combined to analyse the complexity of biological systems underlying disease pathogenesis.

The LCSB is pioneering the way for a predictive, preventive, and personalised medicine. Neurodegenerative diseases, especially Parkinson’s disease are major targets within LCSB’s research activities.

LCSB is coordinating the ELIXIR (the European life-sciences Infrastructure for biological Information www.elixir-europe.

org) national node of Luxembourg focusing on Clinical and Translational Medicine Research Informatics (ELIXIR-LU).

Your Role

For our research activities and projects within LCSB, we are looking for a scientific DevOps engineer to support our research IT infrastructures, including our virtual private clouds based on OpenStack and oVirt.

In addition, the hired candidate will help with the development and setup of new state of the art solutions. The candidate will need to research, design, and implement innovative IT solutions to enable our data integration and analytics platforms.

  • Actively engage in research activities, new approaches and IT solutions in the Bioinformatics Core / LCSB.
  • Research existing technologies and contribute to technology, benchmarks, selection and methodologies
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