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Full professor Algorithmic Data Science

The Informatics Institute (IvI) of the University of Amsterdam 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 ...

4 maanden geleden

Arbeidsvoorwaarden

Standplaats:
Landelijk / geen vaste standplaats
Dienstverband:
Tijdelijk contract / Tijdelijke opdracht
Uren per week:
38 uur
Salarisindicatie:
€ 5260 - € 7659 per maand
Opleidingsniveau:
Postdoctoraal

Functieomschrijving

The Informatics Institute (IvI) of the University of Amsterdam 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.

Functie-eisen

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.

Conditions

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%.

Additional information

Further information about this vacancy may be obtained from:

Applications may only be submitted by electronic mail via:

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.

Please combine all the documents in one single attachment.

Include the months (not just years) in your CV when referring to your education and work experience.

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.

Bedrijfsomschrijving

With over 5,000 employees, 30,000 students and a budget of more than 600 million euros, the University of Amsterdam (UvA) is an intellectual hub within the Netherlands. Teaching and research at the UvA are conducted within seven faculties: Humanities, Social and Behavioural Sciences, Economics and Business, Law, Science, Medicine and Dentistry. Housed on four city campuses in or near the heart of Amsterdam, where disciplines come together and interact, the faculties have close links with thousands of researchers and hundreds of institutions at home and abroad. The UvA’s students and employees are independent thinkers, competent rebels who dare to question dogmas and aren’t satisfied with easy answers and standard solutions. To work at the UvA is to work in an independent, creative, innovative and international climate characterised by an open atmosphere and a genuine engagement with the city of Amsterdam and society.

Informatics Institute

The Informatics Institute (IvI) actively 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.