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University of Copenhagen PhD International Fellowships in Machine Learning in Medicine, Denmark

Are you interested to work on both theoretical aspects of machine learning solutions development and the application of the developed solutions on clinically relevant problems? Then you must apply for the PhD fellowships in Machine Learning in Medicine offered by the University of Copenhagen for the academic year 2022-2023.

Two PhD positions in the PhD Project in computer-aided abdominal procedures are offered to domestic and international students who hold a master’s degree qualification in Computer Science, Mathematics, or Biomedical Engineering. The applicants are expected to have knowledge in computer science, software development proficiency and experience in machine learning to be considered eligible for the position. The appointed candidates will be provided a grant of DKK 6,397 and a salary.

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Excellent opportunity for overseas applicants to get support for education.

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The University of Copenhagen is a public research university in Copenhagen, Denmark, that is also the largest educational institution in Denmark. It was founded in 1479 as the second-oldest university in Scandinavia after Uppsala University and ranked 37th in Best Global Universities.

Why choose to study at the University of Copenhagen? The University of Copenhagen is a world-class research university with an aim to prepare students for a broad range of jobs in the private and public sectors while working continuously and systematically on the equality of its higher education by means of strategic initiatives and daily quality assurance efforts.  The university is driven by intellectual creativity and critical thinking.

Application Deadline:  The deadline for applications is 15 October 2022, 23:59 GMT +2.

Brief Description

  • University or Organization: University of Copenhagen
  • Department: Department of Computer Science
  • Course Level: PhD
  • Award: DKK 6,397
  • Number of Awards: 2
  • Access Mode: Online
  • Nationality: Domestic and International
  • The award can be taken in Denmark.

George E. Shook International/Study Abroad Scholarship


  • Eligible Countries: Students from Denmark and other foreign countries are both eligible to apply.
  • Eligible Course or Subjects: Students can apply for a PhD programme at the Department of Computer Science’s Faculty of Science at the University of Copenhagen.
  • Eligibility Criteria: To be eligible, the applicants must meet all the following/given criteria:
  • The applicants must be committed candidates who are not afraid of asking questions, can cut through in a busy day, and can independently drive a project until the models are applied.


How to Apply

  • How to Apply: Admission applications must be submitted via the university portal. Interested students must submit a separate fellowship application form.
  • Supporting Documents: The students are required to present the following documents to the university:
  • Motivated letter of application (max. one page)
  • Your motivation for applying for the specific PhD project/State which PhD project you are applying for.
  • 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
  • Publication list
  • Reference letters (if available)
  • Admission Requirements: The applicants 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, e.g. Computer Science, Mathematics, or Biomedical Engineering.
  • Language Requirement: The students must submit scores of the following English language proficiency tests:
  • IELTS – 6.5
  • TOEFL IBT – 83
  • CAE/CPE – Passed


The PhD candidates selected by the University of Copenhagen for this project will be awarded a PhD grant portion is currently DKK 6,397 before tax, and a salary for totalling a workload of at least 150 working hours per year.

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