The University of Amsterdam now wishes to invite applicants for its PhD Position in Crowdsourced Data Science for International Management to create a website using data visualization techniques to provide transparency. The position is to support international students who hold a Master’s degree in the area of data science, artificial intelligence, business analytics or a related discipline
The aim of the position is to 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.
The University of Amsterdam (abbreviated as UvA, Dutch: Universiteit van Amsterdam) is a public university located in Amsterdam, Netherlands. The University of Amsterdam is the third-oldest university in the Netherlands.
Application deadline: December 15, 2017.
Course Level: Position is available to pursue PhD.
Study Subject: Position is awarded in the field of Crowdsourced Data Science for International Management.
Scholarship Award: 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%)
Nationality: International applicants are eligible to apply.
Number of Scholarships: Number of position is not given
Scholarship can be taken in Netherlands
Eligibility for the Scholarship:
- Eligible Countries: International applicants are eligible to apply for the studentship.
- Entrance Requirements: Applicants must have a master’s degree in the area of data science, artificial intelligence, business analytics or a related discipline.
- English Language Requirements: Good knowledge of spoken and written English is required.
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.
How to Apply:
Applications should be made via email. Please include job reference number 17-562.