Five Assistant Professorships (f/m) in Data Science and Artificial Intelligence
The Department of Data Science and Knowledge Engineering (DKE) at Maastricht University, the Netherlands, invites applications for five full-time assistant professor positions in the following fields:
- Deep Learning
- Advanced Statistics
- Data Visualization
- Image Processing
We seek for young scientists with profound knowledge and expertise any of these fields. When applying, clearly state
for which of these five positions (fields) you are applying. The successful applicants will have the opportunity to
contribute to cutting-edge research and to teaching (in English) in a highly stimulating academic environment.
----- Main requirements
Applicants should fulfill the following main requirements:
- Ph.D. degree in data science, artificial Intelligence, computer science, mathematics, or a related field
- A proven postdoc track record in state-of-the-art research and teaching
- Experience in the acquisition of research funding
- A personality characterized by team spirit, ambition, and vision
We particularly welcome applicants whose research has led to, or has the obvious potential to lead to real-world applications and collaborations with companies and industry.
Maastricht University requires teaching staff to have the "Basiskwalificatie Onderwijs" (BKO, Basic teaching qualification). Successful applicants who do not yet possess the BKO are expected to obtain this qualification preferably within the first year. Maastricht University and our department support its staff in obtaining the BKO.
----- Main responsibilities
The main responsibilities of successful applicants will be:
----- Contract type and conditions of employment
- Conducting leading basic and/or applied research in their fields
- Research funding acquisition at the national and European scale
- Offering courses at the bachelor and master level in English
- Supervision of students at all levels (BSc, MSc, PhD)
The positions are offered as tenure-track positions for five years, with an evaluation and decision on tenure (transition to permanent) during this period. Intended start date is 1-9-2017.
Salary is competitive, depending on qualifications and work experience. The salary will be set in salary scale 11 of the collective labor agreement of the Dutch Universities, ranging from €3427 to €4691 for a full-time job. On top of this, there is an 8% holiday and an 8.3% year-end allowance. Non-Dutch
applicants may be eligible for a favorable tax treatment (30% rule).
We offer a very stimulating scientific environment with excellent facilities for professional and personal development.
----- About the employer
- Department of Data Science and Knowledge Engineering (DKE)
Founded in 1992 as part of the Faculty of Humanities and Sciences, today DKE broadly covers 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 programs currently offered by DKE are Data Science & Knowledge Engineering (bachelor), Artificial Intelligence and Data Science for Decision Making (both master programmes). DKE‘s Bachelor programme Data Science & Knowledge Engineering is ranked #1 in the Netherlands, and has received national recognition as `Top Programme‘ since 2014. For further information, see https://www.maastrichtuniversity.nl/dke
DKE cooperates closely on data-science related topics with the Institute for Data Science (IDS, https://www.maastrichtuniversity.nl/research/institute-data-science
), the Maastricht Center for Systems Biology (MaCSBio, https://www.maastrichtuniversity.nl/research/maastricht-centre-systems-biology
) and the Business Intelligence & Smart Services Institute (BISS, http://www.biss-institute.com/
). This cooperation opens additional attractive research opportunities for the announced positions.
- Maastricht University (UM)
) is renowned for its unique, innovative, problem-based learning system, which is characterized by a small-scale and student-oriented approach.
UM is currently ranked 4th in the Times Higher Education (THE) "World‘s Best Universities Under 50 Years Old". Research at UM is characterized by a multidisciplinary and thematic approach, and is concentrated in research institutes and schools. Maastricht University has around 16,500 students, 4,000 employees and 55,000 alumni. Reflecting the university‘s strong international profile, a fair amount of both students and staff are from abroad. For further information please see https://www.maastrichtuniversity.nl/
----- About the City of Maastricht
Maastricht is conveniently located in the heart of Europe, very close to Belgium and Germany and with easy access to major European cities such as Amsterdam, Brussels, Luxembourg and Düsseldorf. Over the past decades, Maastricht has developed into a beautiful, vibrant, international city. Today almost 20 percent of the Maastricht population (more than 122,000 inhabitants) are involved with higher education in the city as students or employees. For more information about Maastricht and what it means to live and work in Maastricht, please visit https://www.maastrichtuniversity.nl/lifeum
----- How to apply
Applicants are asked to either apply via Academic Transfer (via https://www.academictransfer.com/41597
) or to send their applications - curriculum vitae, publication list, and the names of two persons who would be willing to provide references if asked - to Recruitmentfhs@maastrichtuniversity.nl
It is important that you clearly state in your application for which of the above mentioned fields you are applying. Moreover, you are asked to provide your application as a single pdf document.
Applications received by September 1st, 2017 will receive full consideration. The positions will remain open until filled. Applicants may be called in for an interview. In view of gender balance we strongly encourage qualified women to apply.
----- Additional information
Inquiries concerning these positions can be directed to
prof. dr. Gerhard Weiss firstname.lastname@example.org
prof. dr. Ralf Peeters (email@example.com