Faculty Positions in Autonomous Discovery Science, Computational Social Science, and AI and Ethics, Law, and Societal Issues
Maastricht University
Netherlands

Tenure- track or tenured faculty positions in Autonomous Discovery Science, Computational Social Science, and AI and Ethics, Law, and Societal Issues (ELSI)

Tenure- track or tenured faculty positions in Autonomous Discovery Science, Computational Social Science, and AI and Ethics, Law, and Societal Issues (ELSI)

Published Deadline Location
26 Jul 29 Sep Maastricht

You will be working in a dynamic and vibrant interdisciplinary environment at the Institute of Data Science at Maastricht University.

JOB DESCRIPTION

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, and AI ethics, law and societal issues.

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

CONDITIONS OF EMPLOYMENT

We offer a rewarding career at a young university in the heart of Europe, with a distinct global perspective and a strong focus on innovative research and education.

The terms of employment of Maastricht University are set out in the Collective Labour Agreement of Dutch Universities (CAO), supplement with local UM provisions. For more information on terms of employment, please visit our website www.maastrichtuniversity.nl > Support > UM employees.

The salary is competitive, depending on qualifications, work experience, the offered position and based on the salary scales of the Collective Labour Agreement of the Dutch universities. (The caoNU). It is based on a full-time appointment (38 hours/week). On top of this, there is an 8% holiday allowance and an 8.3% end of the year allowance.

We offer an attractive package of fringe benefits such as, reduction on collective health insurance, substantial leave arrangements, parental leave packages, attractive retirement benefits and application for attractive fiscal arrangements for employees from abroad;

ยท38 hours per week

Tenure track or tenured faculty position

We provide a stimulating, collaborative and interdisciplinary work environment with excellent opportunities for professional and personal development;

Maastricht University has an excellent international reputation, and Maastricht itself is a beautiful, open-minded city located in the center of Western Europe.

EMPLOYER

Maastricht University
http://www.maastrichtuniversity.nl/

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 16,000 students and 4,000 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 Community @ Maastricht University

Data Science@Maastricht University 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.

DEPARTMENT
Institute of Data Science
Institute of Data Science

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 a collaborative environment in the study, development, and application of data science and artificial intelligence technologies. IDS consists of a core team of data science experts that cooperate closely with researchers across disciplines such as knowledge engineering, medicine, life sciences, law, social sciences and humanities, business and economics.

ADDITIONAL INFORMATION
Diversity

Maastricht University is committed to nurturing an inclusive culture and a welcoming atmosphere. This inclusiveness strategy has resulted in a very diverse representation of nationalities and cultures. We strongly believe that diversity (including, but not limited to nationality, age and gender) of the staff and student population will increase the quality of UM education & research. Fostering diversity and inclusivity creates an academic community where individual talents thrive, and values and differences are cherished. We strongly encourage you to apply if you are qualified for this position.


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