Fully-Funded International PhD Fellowships in Machine Learning, Denmark

  •  PhD
  •  15-Aug-2021
  •   Denmark
  • $$  DKK 6,243

The University of Copenhagen is offering five fully-funded PhD Fellowships in Machine Learning and Information Retrieval for outstanding candidates.

This educational award is designed for talented and motivated domestic and international students who want to undertake a PhD degree program at the university.

The University of Copenhagen is Denmark’s largest educational institution, with a global perspective and reach. It assists students with admissions, housing, and counselling, as well as hosting orientation programs with a variety of social events.

Why choose the University of Copenhagen? The University of Copenhagen is Denmark’s largest educational institution, with a global outlook and reach. It assists students with admissions, housing, student counselling, and other issues, as well as providing orientation activities that include a variety of social events.

Application Deadline: August 15, 2021

Københavns Universitet Information

Københavns Universitet Grants

Fully-Funded International PhD Fellowships in Machine Learning, Denmark Established in 1479, Københavns Universitet (University of Copenhagen) is a non-profit public higher education institution located in the urban setting of the large city of Copenhagen (population range of 1,000,000-5,000,000 inhabitants), Capital Region of Denmark. Officially accredited and/or recognized by the Uddannelses- og Forskningsministeriet (Ministry of Higher Education and Science, Denmark), Københavns Universitet (KU) is a very large (uniRank enrollment range: 35,000-39,999 students) coeducational higher education institution. Københavns Universitet (KU) offers courses and programs leading to officially recognized higher education degrees in several areas of study. See the uniRank degree levels and areas of study matrix below for further details. This 540 years old higher-education institution has a selective admission policy based on students' past academic record and grades. International applicants are eligible to apply for enrollment.

Eligibility Criteria

  • Eligible Countries: Applications are accepted from around the world
  • Eligible Course or Subjects: PhD fellowships in Machine Learning and Information Retrieval
  • Eligibility Criteria: To be eligible, you must have completed a degree programme, equivalent to a Danish master’s degree (180 ECTS/3 FTE BSc + 120 ECTS/2 FTE MSc) related to the subject area of the project.

Offered Benefits

The University of Copenhagen will provide a starting salary DKK 6,243. Salary is DKK 221.34 per working hour (+ 12.5% holiday pay).(1 April 2021 level). The position is covered by the Protocol on Job Structure. Salary range starts at DKK 27,788.69 per month incl. PhD supplement (1 April 2021 level).

Application Process

  • How to Apply: Aspirants must have to take admission in the PhD degree at the university. After that, you can complete the online application form.
  • Supporting Documents: You must submit all the following supporting documents:
  • Motivated letter of application (max. one page) for applying for the specific PhD project.
  • Curriculum vitae including information about your education, experience, language skills and other skills relevant for the position .
  • Original diplomas for Bachelor of Science or Master of Science and transcript of records in the original language, including an authorized English translation if issued in another language than English or Danish. If not completed, a certified/signed copy of a recent transcript of records or a written statement from the institution or supervisor is accepted.
  • Publication list (if possible).
  • Reference letters (if available)
  • Admission Requirements: Applicants will be selected on the basis of previous publications (if any) and relevant work experience.
  • Language Requirement: If English is not your first language, you should provide evidence of English language ability: IELTS, TOEFL, or other acceptable proof.
Apply Here
If you think this scholarship can be helpful to somebody else, please share:

Subscribe for Scholarship Updates

Get a weekly email that thousands of students use to get the latest scholarships and grants.


** Scholarships.plus will not share your details without your permission.

Like our website? Follow us on Facebook

More Suggestions: