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 10 new positions in 2018. One of these positions is an Assistant Professorship in Data Science and Artificial Intelligence.

We invite applications for a joint tenure-track position in the Department of Data Science and Knowledge Engineering and the Institute of Data Science at Maastricht University. The successful candidate will demonstrate a cutting-edge research programme in any of artificial intelligence, deep learning, and/or data visualization. The candidate will lead multidisciplinary research teams, participate in teaching in educational programmes, 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/or strong collaborations with industry.

Applicants should fulfill the following main requirements:

• PhD degree in data science, artificial intelligence, computer science, mathematics, or a related field;

• At least 2 years of experience in an academic environment after the PhD period;

• Excellence in research and a track record of obtaining research funding;

• Experience and excellence in teaching;

• Experience in supervising Bachelor, Masters, or PhD students;

• A personality characterized by vision, ambition, and collaboration;

• Fluency in the English language.

The salary is competitive, depending on qualifications and work experience. The salary will be set in scale 11 of the Collective Labour Agreement of the Dutch Universities, with an expected minimum of € 3.475,- and a maximum of € 4.757,- for a full-time position of 38 hours/week. In addition there is an 8% holiday and 8.3% year-end allowance. Furthermore,we offer an attractive package of fringe benefits such as collective health insurance, substantial leave arrangements, parental leave packages, attractive retirement benefits, and application for attractive fiscal arrangements for employees from abroad.

Contract type

Initially, candidates are employed on a temporary contract as assistant professor (level 2) and agree to specific development goals. Five years into the appointment, candidates will be evaluated and if the development goals have been met, promoted to assistant professor (level 1) on a permanent contract. The evaluation can be brought forward if criteria are met earlier. On the candidate’s request the evaluation can be deferred in case of special personal circumstances, such as pregnancy leave, parental leave or chronic illness.

Intended start date is as soon as possible. Maastricht University requires teaching staff to have the University Teaching Qualification (BKO) or acquire this qualification preferably within the first year. 

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.

Maastricht University

Established in 1976, Maastricht University (UM) is the most international university in the Netherlands and renowned for its innovative, student-centered problem-based learning system. With approximately 16.300 students and 4.300 employees, Um offers a wide choice of bachelor’s, master’s and PhD programmes, all of which are designed to integrate research and education. Research at UM is characterized by a multidisciplinary and thematic approach, and is concentrated in research institutes and schools linked to the university’s six faculties: Faculty of Health, Medicine and Life Sciences, Faculty of Law, School of Business and Economics, Faculty of Humanities and Sciences, Faculty of Arts and Social Sciences, Faculty of Psychology and Neuroscience.

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.

Department of Data Science and Knowledge Engineering (DKE)

Founded in 1992 as part of the Faculty of Humanities and Sciences, today DKE broadly covers Data Science and Knowledge Engineering in research and teaching. DKE comprises three internationally respected research groups, having their focus on “Robotics, Agents and Interaction”, “Networks and Strategic Optimization”, and “Biomathematics and Bioinformatics”. Education programmes offered by DKE are a BSc in Data Science & Knowledge Engineering, a MSc in Artificial Intelligence, and a MSc in Data Science for Decision Making. For further information, seehttps://www.maastrichtuniversity.nl/dke

Institute of Data Science (IDS)

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