Professor of Applied Statistics

ongeveer een maand geleden


Amsterdam, Noord-Holland
Tijdelijk contract / Tijdelijke opdracht
Uren per week:
38 uur
€ 5260 - € 9246 per maand

The Amsterdam Business School (ABS) of the Faculty of Economics and Business has a vacancy for a Professor of Applied Statistics.
We are looking for someone who has an excellent track record of publications in ...


The Amsterdam Business School (ABS) of the Faculty of Economics and Business has a vacancy for a Professor of Applied Statistics.

We are looking for someone who has an excellent track record of publications in the international journals and who we judge likely to continue doing so. Ability in the coming years to publish a significant number of articles in journals on the list of the ABS, including at the A* level, is essential. The new professor will participate in the research programme in industrial statistics and branch out to other areas within the school and the university (Operations Management, Quantitative Marketing, Econometrics, Business Analytics, Big Data). We expect the new professor to collaborate in research with other members of the section. In particular we hope that he/she will stimulate research by junior members of the staff. The new professor is required to be integrated into international research networks. This means international co-authors, stays at international universities, presentations at international conferences, and obtaining international research funding.

The new professor should have wide teaching experience, have obtained good results, and be experienced in the design and implementation of new courses. We are especially looking for somebody who can teach in the various executive (post-graduate) programmes, such as the MBA Big Data, the MSc Econometrics (Big Data track) and our various MSc programmes in business/management and finance. Furthermore, the candidate should be able to run courses in executive education, like Lean Six Sigma Black Belt courses.

Finally, we expect that the new professor takes on substantial managerial tasks, such as the directorships of one or more post-graduate programmes or similar.


The new professor:

  • has a PhD in Statistics;
  • has publications in leading international journals;
  • has evidence of international leadership in his/her research field;
  • has experience in the successful supervision of PhD candidates;
  • has experience in designing and implementing new courses for students;
  • has wide teaching experience, interest in teaching, and excellent teaching evaluations;
  • has the capability of initiating and organizing new research;
  • has experience in supervising and motivating academic research and the capability of building a strong research group.
  • is part of (a) wide (international) network(s) and has the contacts necessary to initiate national and international partnerships, not only with other universities and research institutes but also with business. Is able to liaise and negotiate with partners in multinational corporations.


Starting date will be so soon as possible or such other date as may be mutually agreed. Salary will be in accordance with Dutch academic salary scales. For professors this is between €5.260 and €9.246 gross per month (+16.3% holiday and end-year payments) dependent on experience and track record of the candidate. A substantial reduction in income tax (equal to 30% of taxable salary) may apply to non-Dutch candidates. The Collective Labour Agreement for Dutch Universities is applicable.

Additional information

For informal inquiries, please contact:

  • prof. R.J.M.M. Does
    T: +31(0)20 525 6024

Applicants should submit a complete curriculum vitae, cover letter, two research papers (published or unpublished) and the names and contact information of three references before 2 June 2017 to Universiteit van Amsterdam, Personnel Department via:

Please state job reference number 17-182 in the subject line.


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.

Amsterdam Business School

The Amsterdam Business School (ABS) is one of the two schools of the University of Amsterdam’s Faculty of Economics and Business. ABS has almost 3,000 students and the equivalent of 120 full-time academic staff. The school’s core subjects are Corporate Governance, Entrepreneurship, and Big Data / Business Analytics.

Six sections (Accounting, Entrepreneurship & Innovation, Finance, Leadership & Management, International Strategy & Marketing, and Operations Management) conduct research that is published in prestigious international journals. They also provide various degree programmes including a BSc programme and six MSc programmes, a wide range of post-doctoral programmes featuring three MBAs, five vocational programmes and Lean Six Sigma programmes, and an extensive portfolio of open courses and in-company projects.

To stimulate Big Data & Business Analytics, the school actively participates in Amsterdam Data Science, an all department initiative of the University of Amsterdam (UvA), the Free University of Amsterdam (VU), the University of Applied Sciences (HvA) and the Center of Computer Science & Mathematics (CWI). Within Amsterdam Data Science, a large number of research projects on Data Science take place, both with a theoretical focus and with an applied / industry focus.

The school further participates in a university-wide Minor in Data Science at Bachelor level, a Master track in Digital Business, a Big Data track within the Master Econometrics, a MBA in Big Data & Business Analytics and several post-graduate programmes on Big Data & Business Analytics, including programmes on industrial statistics and Lean Six Sigma.


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