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University of Copenhagen

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PhD Fellowship in Causal Inference for Biostatistics and Clinical Epidemiology at the University of Copenhagen University of Copenhagen in Denmark

Degree Level

PhD

Field of study

Epidemiology

Funding

PhD fellowship, full-time for 3 years. Salary, pension, and employment terms follow the Danish academic agreement and salary depends on years of work experience (seniority).

Deadline

Sep 20, 2026

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Country

Denmark

University

University of Copenhagen

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Keywords

Epidemiology
Biostatistics
Mathematics
Medical Science
Causal Inference
Survival Analysis
Salud Pública
Type 2 Diabetes
Mathematical Statistics
Statistics

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About this position

PhD fellowship in causal inference at the University of Copenhagen, hosted by the Department of Public Health and linked to the SMARTbiomed Pioneer Centre. The project sits at the intersection of statistics, mathematics, biostatistics, clinical epidemiology, and medical science, with applications to nationwide Danish health registries and combination drug therapies in people with type 2 diabetes.

The research will develop new methods for causal inference in complex longitudinal survival data, including dynamic and asynchronously initiated combination treatments, time-varying confounding, competing risks, treatment non-adherence, and time-related biases. Methods mentioned include random forest, targeted learning, interpretable survival models, and doubly robust estimation.

This is a 3-year full-time PhD fellowship under the 5+3 scheme. The position is based at the Section of Biostatistics, Department of Public Health, CSS, University of Copenhagen, Denmark. The post states salary, pension, and employment terms follow the Danish academic agreement, with salary based on seniority.

Eligibility highlights: a relevant academic degree in the subject area; strong background in mathematical statistics and biostatistics; documented theoretical and applied statistics skills; ability to program in R; interest in teaching, conference presentations, and scientific writing; and experience with clinical trials or collaboration with medical researchers is valued. The applicant must not already be enrolled as a PhD student at the Faculty of Health and Medical Sciences, University of Copenhagen.

Application deadline: 20 September 2026. Apply online using the portal link and submit the required documents in English, including a motivation letter, CV, transcripts, degree certificates, and two referees.

Funding details

PhD fellowship, full-time for 3 years. Salary, pension, and employment terms follow the Danish academic agreement and salary depends on years of work experience (seniority).

What's required

Applicants should have a relevant academic degree within the project area and be eligible for the 5+3 PhD scheme. The successful candidate is expected to be a statistician with a solid background in mathematical statistics and biostatistics, documented skills in theoretical and applied statistics, and the ability to program in R. Interest in communicating research through teaching, conference talks, and scientific papers is required. Knowledge of clinical trials and experience collaborating with medical researchers are valued; knowledge of group-sequential trials is appreciated but not necessary. The candidate must not already be enrolled as a PhD student at the Faculty of Health and Medical Sciences, University of Copenhagen.

How to apply

Apply online via the provided application link before 20 September 2026. Submit the application in English with a motivation letter, CV, documentation of statistics/biostatistics and clinical trials knowledge, official transcripts, degree certificates, and contact details for two referees.

More information can be found here

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