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Institute of Data Science at Maastricht University has an opening for a Data Science Engineer to join our team of qualified, diverse individuals.
The Data Science Engineer will work with our research and development teams to architect, provision, and support scientific computing platforms, databases and data lakes, workflows and pipelines for data integration and analysis, user-facing applications, and end-to-end data flows.
Basic:
Preferred:
Maastricht University is renowned for its unique, innovative, problem-based learning system, which is characterized by a small-scale and student-oriented approach. Research at UM is characterized by a multidisciplinary and thematic approach, and is concentrated in research institutes and schools. Maastricht University has around 18,000 students and 4,300 employees. Reflecting the university's strong international profile, a fair amount of both students and staff are from abroad. The university hosts 6 faculties: Faculty of Health, Medicine and Life Sciences, Faculty of Law, School of Business and Economics, Faculty of Science and Engineering, Faculty of Arts and Social Sciences, Faculty of Psychology and Neuroscience.
The Institute of Data Science at Maastricht University (IDS@UM) is a recently established center led by distinguished professor Michel Dumontier. The mission of the Institute of Data Science is to foster a collaborative environment in the study, development, and application of data science and artificial intelligence technologies. IDS consists of a core team of data science experts that cooperate closely with researchers across disciplines such as knowledge engineering, medicine, life sciences, law, social sciences and humanities, business and economics.
Data Science Community @ Maastricht University
Data Science@Maastricht University is a pioneering, university-wide network of data-driven researchers with more than 25 years’ experience in data science education and research. Our community consists of multidisciplinary teams that address significant scientific problems and major societal issues through and related to data science including social, legal and ethical concerns in a wide range of academic disciplines. The Data Science@ UM community is expanding with at least 15 new positions in 2019.
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