PhD Candidate in Crowdsourced Data Science for International Management, University of Amsterdam, Netherlands

Study in:Netherlands
Deadline: 15 December 2017

PhD Candidate in Crowdsourced Data Science for International Management

Faculty of Economics and Business – Amsterdam Business School

Publication date
7 November 2017
Level of education
Master’s degree
Salary indication
€2,222 to €2,840 gross per month
Closing date
15 December 2017
38 hours per week
Vacancy number

The Amsterdam Business School (ABS) is part of the University of Amsterdam’s Faculty of Economics and Business. The school’s core subjects are Corporate Governance, Entrepreneurship, and Big Data / Business Analytics. The ABS has almost 3,000 students and the equivalent of 120 full-time academic staff. This faculty is divided among six sections (Accounting, Entrepreneurship & Innovation, Finance, Leadership & Management, International Strategy & Marketing, and Operations Management) that conduct top-level research published in prestigious international journals.

The chairs of the International Strategy & Marketing section and the Data Science for Business Analytics are looking for a PhD candidate for an interdisciplinary project using computer science to design accountability innovations aiming to improve responsible production in developing countries with weak institutions. The technology will increase transparency, allowing stakeholders such as practitioners, civil society activists, and community organizers to assess the impacts of irresponsible production and labour violations. The project aims to promote stakeholder dialogue to hold businesses accountable to provide remedy and justice for vulnerable individuals and communities impacted by business supply chains in Africa.

Job description

The  PhD candidate will:

  • develop a mobile telephone application employing  crowdsourcing methods to obtain reports of labour rights violations, environmental damage, or other irresponsible production in business supply chains in Africa, and develop methods to track those incidents over time to understand whether, when, and how the pursuit of justice and remedy occurs;
  • also create a website using data visualization techniques to provide transparency about business violations and remedies through real-time public access to the reports;
  • will write academic papers related to this research.


The candidate:

  • has a Master’s degree in the area of data science, artificial intelligence, business analytics or a related discipline;
  • has excellent grades and a strong interest in applied and quantitative research methods;
  • has the motivation to build socially relevant computer science applications (ICT for development);
  • has the drive to publish in top-level academic journals in data science and management;
  • has well-developed analytical skills, strong organization and communication skills, an entrepreneurial mind set, and perseverance;
  • has the ability to work independently and to be proactive in developing the research project;
  • knows Python, Javascript, data analytics, mobile technologies, data visualization, crowdsourcing (experience in one field and affinity for the others);
  • masters both written and spoken English (working knowledge of French is helpful);
  • is willing to travel to workshops in South Africa, Mali and/or Democratic Republic of Congo.

Further information

Further information may be obtained from:

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You will be appointed for an initial period of 18 months with a possibility to extend it for another 2,5 years, pending positive evaluation. As part of your contract, you will spend 20% of your time on teaching. You will be classified as PhD candidate (promovendus) in the Dutch University job-ranking system (UFO), providing a gross monthly starting salary of €2.222 in the first year (which increases to €2.840 in the final year) with an additional end-of-year bonus (8.3%) and holiday allowance (8%). The Collective Labour Agreement for Dutch Universities is applicable.

Preferred starting date is 15 January 2018.

Job application

Applications should be made via Please include job reference number 17-562. Applicants should send a letter of application accompanied by a curriculum vitae and names of references. In addition, applicants should include a copy of their Master’s thesis. Applicants that are currently studying for a Master’s degree should include a short description of their Master’s thesis project (max. 2 pages) and a copy of their Bachelor’s thesis.

The closing date is 15 December 2017. #LI-DNP

No agencies please

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