Associate Professor in Computational Law (0.8-1.0 fte)

You will be offered the opportunity to collaborate with legal researchers and computer scientists, and to apply (and learn) computer science methods, including AI (symbolic or non-symbolic) in relation to the legal domain, whether it is for the purpose of analyzing data or engineering data infrastructures. The responsibilities are diverse. You will teach, conduct innovative and high-quality research, write research proposals, and participate in strategic and administrative activities. This set of responsibilities will, among other things, allow you to:

• Grow in academia
• Be a pioneer in the field of law and data science
• Collaborate with experts from law as well as computer science
• Perform individually and collaboratively
• Build networks
• Participate and lead projects
• Pursue strategies to translate research results into innovation
• Develop and advance courses and educational programs at the intersection of law and data science.

The application of computational methods in the legal domain will revolutionize legal academia and practice. There is a growing need to develop data infrastructures for the legal domain and to test methodologies for legal analysis in order to answer empirical research questions. This position helps address this need by contributing to cutting-edge research that applies data science and artificial intelligence to a legal or regulatory context.

We invite applications for a position at the Maastricht Law and Tech Lab, which closely collaborates with the Institute of Data Science and the Department of Knowledge Engineering at Maastricht University. It is an exciting and vibrant community where legal scholars and data scientists meet and form interdisciplinary teams that work at the intersection of Data Science and Law.