A PhD degree in law, data science, artificial intelligence, computer science, mathematics or a related field is necessary. Experience with NLP techniques is obviously a plus.

Here is the full text ad: https://www.academictransfer.com/en/291905/assistant-professor-in-applied-data-science-and-law/ Deadline is July 12th.

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.
Although the development and application of artificial intelligence (AI) has taken off, many vulnerable persons such as victims, social media users, children, and consumers are left unprotected or even exploited because they do not have access to legal information or to law enforcement. AI has the potential to assist in empowering those vulnerable persons, but because there is no commercial interest for such activities, the protection of vulnerable persons is severely lagging behind.
There is a growing need to apply computational methods to develop data infrastructures and methodologies, and to apply them to answer empirical research questions that contribute to protecting vulnerable persons in a legally compliant way. This position helps address this need. 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 applies data science and artificial intelligence in a legal or regulatory context. 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/ o r strong collaborations with industry.
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.


Maastricht University


Applicants should fulfill the following main requirements:

* PhD degree in law, data science, artificial intelligence, computer science, mathematics, or a related field. Legal scholars with a doctrinal focus do not fit the profile;
* Experience in applying data science (individually and/or jointly);
* Experience in an academic environment after the PhD period is preferred;
* Excellence in research and, preferably, a track record of obtaining research funding;
* Experience in teaching;
* Experience in supervising Bachelor, Masters, or PhD students;
* A personality characterized by vision, ambition, and collaboration;
* Fluency in the English language.

Educational level:

Ph. D.

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