Fully-Funded International PhD Fellowships in Machine Learning and Information Retrieval, Denmark

Opportunity: Fully-Funded International PhD Fellowships in Machine Learning and Information Retrieval, Denmark

Type: PhD

Award Value: DKK 6,243

Location: Applications are accepted from around the world

Who can Apply: Denmark

 

About the Fellowship

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 Ph.D. 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.

 

Requirements

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.

 

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.

 

Deadline

August 15, 2021.

 

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