Deadline: 31 January 2018
Full professor Algorithmic Data Science
- Publication date
- 13 December 2017
- Level of education
- Salary indication
- €5,260 to €7,659 gross per month
- Closing date
- 31 January 2018
- 38 hours per week
- Vacancy number
The Informatics Institute (IvI) of the University of Amsterdamactively participates in Amsterdam Data Science, an all department initiative of the University of Amsterdam, the VU University Amsterdam, the Amsterdam University of Applied Sciences and the Center for Mathematics & Computer Science. Within Amsterdam Data Science, a large number of research projects on data science take place, both with a theoretical focus and with an applied, industrial or governmental focus.
Groups within IvI performing data science related research are AMLAB (led by Max Welling), the Computer Vision (CV) group (led by Theo Gevers), the Information and Language Systems (ILPS) group (led by Maarten de Rijke), the Intelligent Sensory Information Systems (ISIS) group (led by Cees Snoek), and the System and Network Engineering Research (SNE) group (led by Cees de Laat). Our combined expertise ranges from the design and analysis of algorithms and models for machine learning and their use in intelligent systems to system design in software and hardware. We move research into practice by working with industrial, governmental and societal partners and by starting spin-off companies.
IvI is implementing an ambitious growth plan, with 14 new positions. One of these new positions concerns a full professor of algorithmic data science.
The new colleague is expected to create and lead a research group within IvI and to take an active role in the further expansion of data science research, education and innovation. The position is expected to substantially extend the algorithmic data science portfolio within the Amsterdam Data Science initiative and complement current computer science strengths. Candidates should have an excellent record of internationally recognized research, of high quality education and supervision and show high potential for bridging different data science topics. Examples for the expertise of the successful candidate include, but are not limited to, affective computing, conversational systems, data-driven personalization, large-scale interactive systems, machine perception of human activity, and responsible data science.
The new colleague is expected to teach undergraduate and graduate level courses in data science as well as in artificial intelligence, and computer science, and to supervise graduate students.
Applicants must have a PhD in computer science or a closely related discipline and meet the general requirements for a full professorship. We are looking for a creative and inspiring scientist with excellent managerial qualities and leadership capabilities. The ideal candidate has a clear vision on how to approach the current scientific challenges facing the field of data science. Applicants must have a strong record of funded research and be committed to research, teaching, and service. Applicants must be willing to actively participate in interdisciplinary research.
Further information about this vacancy may be obtained from:
- Prof. Maarten de Rijke
T: +31 (0)20 525 5358
We offer a challenging job at a dynamic and ambitious university, a permanent tenured appointment as full-time professor and an attractive package of fringe benefits, for instance: generous leave arrangements, application for attractive fiscal arrangements are possible for employees from abroad, attractive retirement benefits, collective health insurance, excellent parental leave packages, and opportunities for academic-industrial collaborations.
The salary is in accordance with the university regulations for academic personnel, and will range from €5,260 up to a maximum of €7,659 gross per month (scale H2) before tax, based on a full-time appointment (38 hours per week), depending on expertise and previous experience. Gross monthly salaries are in accordance with the Collective Labour Agreement (CAO) for Dutch Universities. The holiday allowance will be 8% per year and the end of year allowance 8,3%.
Applications should include:
- a cover letter and a statement summarizing your motivation (max 1 page);
- a curriculum vitae including a complete list of publications, a list of your best three papers;
- your previous research accomplishments and your future research goals (max 2 pages);
- your teaching statement (max 1 pages);
- the names and contact coordinates (email and telephone numbers) of three references from different institutes.
Include the months (not just years) in your CV when referring to your education and work experience.
Applications may only be submitted by electronic mail. Please combine all the documents in one single attachment and send this to firstname.lastname@example.org.
To enable us to process your application immediately, please quote 17-627 Full professor Algorithmic Data Science in the subject-line.
The closing date for applications is 31 January 2018. #LI-DNP
No agencies please