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We are seeking an ambitious and talented postdoctoral fellow to join our rapidly growing Data Science team to work on distributed data sharing technologies. You will be responsible for researching novel solutions to make data Findable, Accessible, Interoperable, and Reusable (FAIR), and for proposing models for fine-grained data access control, scalable metadata indexing, smart contracts, and distributed ledgers across a variety of application areas, with an initial focus on health.
You will be responsible for the research in the above-mentioned area, as well as writing scientific reports and papers and seeking funding opportunities through grant writing. You may also be asked to mentor PhD and Master students working on a similar topic.
Fixed-term contract: 2 years.
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.
Data Science @UM 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.
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 an interfaculty environment for collaborative innovation in the development and application of data science technologies. IDS consists of a core team of data science experts that cooperate closely with researchers across disciplines such as medicine, life sciences, law, social sciences and humanities, business and economics, knowledge engineering and smart services.