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As an assistant professor, you will have a diverse set of responsibilities. You will teach, conduct innovative and high-quality research, write research proposals, and participate in administrative activities.
Law and technology research can be divided into Law for Technology research (e.g. privacy, liability for self-driving cars, legal status of blockchain) and Technology for Law research. This position focuses on the latter, as it aims to apply Data Science methods to the legal domain in order to unravel the “Legal DNA” of the law. You will be offered the opportunity to collaborate with data scientists and legal researchers, and to apply (and learn) data science methods and solutions in relation to the legal domain.
The successful candidate will contribute to a cutting-edge research program that combines law with data science and artificial intelligence to tackle challenging issues such as modelling legal complexity. The candidate will take part in multidisciplinary research teams, participate in interdisciplinary teaching, and pursue strategies to translate research results into innovation. We welcome applicants whose research has led to, or has the potential to lead to real-world applications and/or strong collaborations with industry.
Applicants should fulfill the following main requirements:
Fixed-term contract: 2 years with possibility for an extension.
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 Maastricht Law and Tech Lab, embedded within the Faculty of Law, aims to produce cutting-edge research and to build a creative community of researchers, teachers and students at the intersection of law, technology, data science and knowledge engineering. The Lab aims to analyze how technology and data science interact with law and justice in society, how technology and data science can increase access to law and justice in society, and analyzes the ethical, legal, and social issues arising from technology and data science innovations. Activities are conducted in collaboration between lawyers, data scientists and/or knowledge engineers.
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.
Maastricht University (UM)
Universiteitssingel 60, 6229 ER, Maastricht
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