The University of Copenhagen is offering International PhD Fellowships in Biostatistics and Causal Inference. This exciting program emphasizes developing innovative methods for causal inference and discovery in observational and experimental data.
To be eligible for the PhD fellowships, applicants must hold a master’s degree in mathematics, biostatistics, statistics, or a related field. They should demonstrate strong skills in theoretical and applied statistics, proficiency in R programming, and an interest in research dissemination, teaching, and scientific writing. Candidates must meet the enrollment requirements for PhD studies at the Faculty of Health and Medical Sciences, University of Copenhagen.Founded in 1479, the University of Copenhagen (UCPH) is one of the oldest and most prestigious universities in Europe. Renowned for its commitment to high-quality research and education, UCPH consistently ranks among the top universities globally. With a strong focus on interdisciplinary collaboration, it offers a vibrant academic environment for over 40,000 students and 9,000 staff.
Københavns Universitet Information
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.
Application Process
Application Process: Submit your application online with the following documents:
- A motivation letter (max 2 pages) outlining your research experience, interests, and reasons for applying.
- Curriculum vitae including education, research experience, and relevant skills.
- Documentation of advanced computational methods experience.
- Official transcripts of examination results.
- Certified/signed copies of degree certificates.
- Contact information for two references.
Late or incomplete applications will not be considered.