Helaas, deze vacature staat inmiddels niet meer online

Kijk gerust verder naar andere vacatures.

eScience Research Engineers

The position:The candidate’s work will be part of the European H2020 funded project EUCP – European Climate Prediction System. This is a 4 year collaborative project with 16 European partners of leading climate prediction ...

12 maanden geleden


Science Park, Amsterdam, Noord-Holland
Tijdelijk contract / Tijdelijke opdracht
Uren per week:
38 uur
€ 2620 - € 4848 per maand


The position:
The candidate’s work will be part of the European H2020 funded project EUCP – European Climate Prediction System. This is a 4 year collaborative project with 16 European partners of leading climate prediction institutions. The overarching objective is to develop an innovative European regional ensemble climate prediction system based on a new generation of improved and typically high spatial resolution climate models, covering timescales from seasons to decades, and designed to support practical and strategic climate adaptation and mitigation decision-taking on local, national and global scales.

Scientific background of the position:
The candidate will contribute to development of a distributed data infrastructure where climate model data can be ingested and will be made accessible to scientists. The data access will be complemented with a flexible data analytics framework where climate model data can be inspected, combined with other environmental or socio-economic data and further processed and analyzed. The system should allow for preservation of the workflows. The candidate will also contribute to training sessions on research software and data access and analysis for both specialists and less experienced users of climate data.


  • Academic level;
  • Finished master degree or PhD in data science, computer science, or equivalent study;
  • Experience with different programming languages (Python, Fortran, C and/or C++);
  • Experience with data infrastructures;
  • Knowledge on modern software tools such as Docker, Apache Spark and Jupyter;
  • Good writing skills in English;
  • Knowledge of a scientific area related to climate research is an asset.


  • Motivated, flexible, creative, initiative taking, independent but also a real team player.


We offer a position at the eScience Center for a fixed period of 3 years within the collective agreement for Dutch Research Institutes (cao-OI). The candidate will be based at the Netherlands eScience Center in Amsterdam.

Classification is based on education and experience with salary depending on qualifications and experience, starting from € 2.620,- up to € 4.848,- gross per month, with a 38-hour working week (salary scale 10-11). Holiday pay amounts to 8% of the gross salary and we also offer a 13th month of salary as an end-of-year payment.

Additional information

The eScience Center offers an interesting and challenging position with (additional) options for personal development. You will work in an international team with an informal but creative and ambitious working environment. The main location is Amsterdam (Science Park).

The eScience Center has an active diversity policy and would like to hire persons with a background that is underrepresented at the eScience Center. We therefore encourage women and minorities to apply.

For more information about this opportunity you can contact Wilco Hazeleger, director of the Netherlands eScience Center, by emailing w.hazeleger@esciencecenter.nl by calling +31(0)20 460 4770.
Please send your resume and application letter before December 20th 2017 through the 'Apply' button.
Additional information may also be found at www.esciencecenter.nl.

This vacancy has been published via SciencePlatform, launched by NRC Carrière and AcademicTransfer.



The Netherlands eScience Center supports and reinforces multidisciplinary, data and computational intensive research through creative and innovative use of digital technologies in all its manifestations. We stimulate enhanced Science (eScience) by focusing on collaboration with universities, research institutions and industry. We aim to change scientific practice by making large-scale big data analysis and computation possible across multiple scientific disciplines to achieve scientific breakthroughs. In this way, we create an effective bridge between scientific research and state-of-the-art digital technologies.