You will be working in a dynamic and vibrant interdisciplinary environment at the Institute of Data Science at Maastricht University.
The Institute of Data Science at Maastricht University invites applications for a tenure-track or tenured faculty position in the area of autonomous discovery science.
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.
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.
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;
·38 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.
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@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.
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.
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.
Applicants should provide:
Deadline for this vacancy is Sunday 29-9-2019
The first round of (possible online) job interviews will be held in the period 21st until 30th October. The second round is scheduled in the period 18th untill 25th of November
All candidates will receive a notification in the week preceding the job interviews.
Inquiries concerning these positions can be directed to:
Prof. Michel Dumontier, Scientific Director of the Institute of Data Science, firstname.lastname@example.org
dr. Claudia van Oppen, Manager Institute of Data Science, email@example.com
Don't forget to mention AcademicPositions and the job number: AT2019.262 in your letter.Continue reading
|Title||Tenure- track or tenured faculty positions in Autonomous Discovery Science|
|Job location||P.O. Box 616, 6200 MD Maastricht|
|Published||September 12, 2019|
|Application deadline||September 29, 2019|
|Job types||Postdoc,   Tenure Track  |
|Fields||Computational Linguistics,   Artificial Intelligence,   Data Mining,   Information Systems (Business Informatics),   Public Administration,   Behavioural Science,   Computational Sciences,   Machine Learning  |