[DL] Tenure-track or tenured faculty positions in Autonomous Discovery Science, Computational Social Science, and AI and Ethics, Law, and Societal Issues (ELSI) at the Institute of Data Science, Maastricht University (NL)

[Info-ids (IDS)]

We are thrilled to recruit *3* talented individuals to our highly interdisciplinary Institute of Data Science at Maastricht University.
Open to all professor ranks, come join our rapidly growing team to pursue new research and training in wonderfully diverse and collaborative environment.

The Institute of Data Science at Maastricht University invites applications for 3 tenure-track or tenured faculty positions in the areas of

*            autonomous discovery science;
*            computational social science;
*            AI ethics, law and societal issues.

Deadline: 29 September 2019

For the full vacancy text and to apply, go to: https://www.academictransfer.com/en/284856/tenure-track-or-tenured-faculty-positions-in-autonomous-discovery-science-computational-social-science-and-ai-and-ethics-law-and-societal-issues-elsi/

Ambition: Despite vast and increasing amounts of data on the Web, our ability to find, obtain, understand, and use data by autonomous machine agents in a societal context remains highly limited owing to an interplay of scientific, technical, social, legal, and ethical factors. To address this challenge, the Institute of Data Science at Maastricht University seeks to bring together an outstanding team of collaborative researchers to join existing faculty and staff to pursue highly interdisciplinary applied research in this area. The team will develop externally funded research programs, interdisciplinary educational programming, and be active in broader outreach and community initiatives.

Positions: Within the initiative, three positions have been created as either tenured or tenure track, focusing on three key research areas:

Autonomous discovery science. The aim of the position is to undertake research and development towards an intelligent and autonomous systems to coordinate people and machines in a manner that furthers scientific knowledge. We welcome outstanding candidates with expertise in areas such as, but not limited to, autonomous systems, automated reasoning, collective intelligence, web-scale data mining, argumentation and other logics, explainable AI, deep learning, and life-long learning.

Computational social science. The aim of the position is to develop computational methods to characterize, guide, and enhance digital interactions, particularly with machines. We welcome outstanding candidates with expertise in areas such as, but not limited to, computational social science, social media analysis, human-computer interaction, computational linguistics, and large-scale digital survey methodology.

AI and Ethics, law and societal issues. The aim of this position is to contribute to our ELSI work and team, with a focus on how far AI developments fit with current governance approaches and requirements; how the presumptions about those approaches are challenged by the new developments; how different stakeholder groups and publics view AI developments in different settings, and how they view the governance of AI; what new governance structures might look like; how new governance structures resonate with different publics and regulators. We welcome outstanding candidates with expertise in areas such as, but not limited to, sociology, anthropology, socio-legal studies, cultural studies, anthropology, and public engagement.


Tasks
*            Conduct cutting edge research in the foundation, applications, and/or governance of data science
*            Be involved in interdisciplinary research between the Institute of Data Science and other parts of the University
*            Develop and secure external funding to support research programme
*            Deliver educational programming at the undergraduate and graduate levels.
*            Establish and advocate for best practices in scientific reproducibility of all results, and to promote the responsible use of data.

Requirements
*            A PhD in mathematics, computer science, data science, artificial intelligence, or equivalent; and sociology, anthropology, socio-legal studies, cultural studies, anthropology, public engagement or equivalent for the AI and ELSI position.
*            A record of outstanding research as evidenced by publications, grants, software developed, and other scholarly measures of impact
*            A record of successful research collaborations
*            Excellent written and oral presentation skills
*            Strong commitment to undergraduate and graduate teaching
*            Strong interpersonal, organizational, and communication skills
*            Strong analytical, computational, and quantitative abilities
*            Strong critical and qualitative ELSI skills for the AI and ELSI position.
*            English Fluency.

For the full vacancy text and to apply, go to: https://www.academictransfer.com/en/284856/tenure-track-or-tenured-faculty-positions-in-autonomous-discovery-science-computational-social-science-and-ai-and-ethics-law-and-societal-issues-elsi/

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