PhD Fellowships in Biostatistics: The Department of Public Health at the University of Copenhagen is inviting applications for 1-2 PhD fellowships focused on biostatistics, particularly in methods development for causal discovery, inference, and prediction.
PhD Fellowships in Biostatistics and Causal Inference
Designation
PhD Fellowships in Biostatistics and Causal Inference
Table
Detail | Information |
---|---|
Research Area | Biostatistics, Causal Inference |
Location | University of Copenhagen, Denmark |
Eligibility/Qualification | Master’s degree in Mathematics, (Bio)statistics, or related fields; experience in R programming. |
Last Date to Apply | February 15, 2025 |
Research Area
The fellowships focus on causal discovery and inference in observational and experimental data, along with risk prediction and development of statistical methodology.
Location
Department of Public Health, Section of Biostatistics, University of Copenhagen, Denmark.
Eligibility/Qualification
- A Master’s degree in Mathematics, (Bio)statistics, or engineering sciences.
- Strong background in both theoretical and applied statistics.
- Proficiency in R programming.
- Interest in communicating research findings via teaching and scientific writing.
- Must not already be enrolled as a PhD student at the Faculty of Health and Medical Sciences, University of Copenhagen.
Description
As a PhD student, your key responsibilities will include:
- Conducting an independent research project under supervision.
- Completing PhD courses equivalent to approximately 30 ECTS points.
- Participating in active research environments and collaborating with other research teams.
- Gaining experience in teaching or dissemination activities related to your PhD research.
- Preparing a PhD thesis based on your project.
The successful applicant will be part of the SMARTbiomed Pioneer Centre, focusing on statistical and computational methods for advanced biomedical research.
How to Apply
Interested candidates should submit their application by February 15, 2025, via the provided link. The application must include:
- Motivation letter (maximum 2 pages).
- Curriculum vitae detailing education, work, research experience, and relevant skills.
- Documentation of knowledge on advanced computational methods.
- Official transcripts of examination results.
- Certified/signed copies of degree certificates.
- Contact information for two references.
Last Date to Apply
February 15, 2025 (23:59 CET)
For detailed information regarding the application process and requirements, please refer to the Graduate School’s website or contact Professor Erin Gabriel at erin.gabriel@sund.ku.dk.