Fully-funded International PhD Fellowships in Deep Learning, Denmark

  •  PhD
  •  01-Sep-2022
  •   Denmark
  • $$  Fully-funded

The Department of Computer Science at the University of Copenhagen has established the Fully-funded International PhD Fellowships in Deep Learning to deserving students in Denmark. Applications for the academic year 2022-2023 are open.

The fellowship has the motive of supporting high-achieving worldwide candidates who want to pursue a PhD degree program at the Department of Computer Science in Denmark.

  • Award
  • Application Process
  • Clarity of Information
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Summary

This is a great opportunity for students to earn higher education in Denmark.The University of Copenhagen is the oldest university and research institution in Denmark. It offers more than 200 academic studies programs in various fields, including health sciences, humanities, law, life sciences, etc.

Why choose the  University of Copenhagen ? The university is dedicated to giving the best education based on research. They encourage all qualified candidates to apply, regardless of their background, gender, sexual orientation, age, disability, ethnicity, etc.

Københavns Universitet Information

Københavns Universitet Grants

Fully-funded International PhD Fellowships in Deep 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: All nationalities.
  • Eligible Course or Subjects: PhD degree in Deep Learning for Remote Sensing and Ecosystem Modelling
  • Eligibility Criteria: To be eligible for the regular PhD programme, 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, e.g. computer science.

Offered Benefits

The University of Copenhagen will provide the terms of employment and salaries are in accordance with the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State (AC). The position is covered by the Protocol on Job Structure.

Application Process

  • How to Apply: In order to apply for the fellowship, all interested candidates are required to take admission in a PhD degree at the University. After being enrolled, applicants can complete the online application form for this award.
  • Supporting Documents: Your application should in English include:
  • Motivated letter of application (max. one page), stating if you have a preference for one of the two PhD topics
  • 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 must have master’s degree from a recognized university.
  • Language Requirement: Applicants must have proficient in  English, both verbally and in writing.
Apply Here
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