PhD Positions in Bayesian Modeling for Hybrid Intelligent Systems in Netherlands for PhD

  •  PhD
  •  01-Sep-2020
  •   Netherlands
  • $$  €2,395 to €3,061 gross per month

Do you want to pursue your PhD degree in the Netherlands? Then, you can apply for the PhD Positions in Bayesian Modeling for Hybrid Intelligent Systems at the University of Amsterdam.

The motive of the programme is to support highly talented students who want to complete their PhD degree at the University of Amsterdam.

Universiteit van Amsterdam Information

Universiteit van Amsterdam Grants

PhD Positions in Bayesian Modeling for Hybrid Intelligent Systems in Netherlands for PhD 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 (population range of 500,000-1,000,000 inhabitants), North Holland. Officially accredited and/or recognized by the Ministerie van Onderwijs, Cultuur en Wetenschap, Nederland (Ministry of Education, Culture and Science, Netherlands), Universiteit van Amsterdam (UvA) is a very large (uniRank enrollment range: 30,000-34,999 students) coeducational higher education institution. Universiteit van Amsterdam (UvA) offers courses and programs leading to officially recognized higher education degrees such as bachelor degrees, master degrees, doctorate degrees in several areas of study. See the uniRank degree levels and areas of study matrix below for further details. This 387 years old higher-education institution has a selective admission policy based on entrance examinations and students' past academic record and grades. International applicants are eligible to apply for enrollment.

Offered Benefits

The University of Amsterdam will provide €2,395 to €3,061 (scale P) gross per month, based on a full-time contract (38 hours a week).

Application Process

  • How to Apply: To apply, you are recommended to take admission at the University of Amsterdam.
  • Supporting Documents: Applicants must have to submit the following:
  • A curriculum vitae
  • A complete record of your Bachelor and Master courses, including grades and an explanation of the grading system
  • The names and contact information of at least two academic references
  • A link to / a copy of your work product. Examples: thesis, research paper (working draft or pre-print is acceptable), course project, blog post, open-source software
  • A letter providing any additional information not sufficiently highlighted by the other materials. The letter could include an in-depth description of relevant experience or an explanation of mitigating circumstances.
  • Admission Requirements: Applicants must have a master’s degree in Machine Learning, Statistics, Computer Science, Mathematics, or a related field.
  • Language Requirement: Applicants must be fluent in both written and spoken English language.
Apply Here
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