International PhD Position in Statistics and Machine Learning, Netherlands
Universiteit van Amsterdam Grants

International PhD Position in Statistics and Machine Learning, Netherlands

Netherlands 01 May 2021

ABOUT THE INSTITUTION

Established in 1632, Universiteit van Amsterdam (University of Amsterdam) is a non-profit public higher education institution located in the urban setting of the medium-sized city of Amsterdam (popu
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OPPORTUNITY DETAILS

Nonprofit organization
Area
Host Country
Deadline
01 May 2021
Study level
Opportunity type
PhD
Eligible Countries
This opportunity is destined for all countries
Eligible Region
All Regions

Award or Grant Description $$  €2,395 to €3,061 gross per month

Amsterdam Business School is looking for outstanding international candidates to apply for the PhD Position in Statistics and Machine Learning at University of Amsterdam. The studentship is open for the academic year 2021/2022.

The study award aims to support highly talented students who want to complete their PhD degree program at the Amsterdam Business School.

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Offered Benefits

The University of Amsterdam will provide a salary range from €2,395 to €3,061 gross per month to the successful candidates.

Application Process

  • How to Apply: To apply for the opportunity, applicants must take admission in PhD degree coursework at the University. After that, they can complete the online application form for this award.
  • Supporting Documents: To apply this process, all students need to submit all the following supporting documents:
  • A letter of motivation
  • A description of the candidate’s primary research interests and ambitions
  • A CV
  • A grade list for the most recently completed degree
  • A sample of completed research work (i.e., thesis proposal)
  • Two letters of reference (preferable by thesis advisor) and recent test scores (GMAT/GRE, TOEFL/IELTS) if applicable.
  • Admission Requirements: Applicants must have to meet the entry requirement at the University.
  • Language Requirement:  If your education has not been conducted in the English language, you will be expected to demonstrate evidence of an adequate level of English proficiency. For more information, go through the English language requirements

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