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Biostatistics● OpenPreview

PhD Fellowship in Causal Inference

Develop novel causal inference methods for complex longitudinal survival data at the University of Copenhagen.

Best for:Best for statisticians with a strong background in mathematical statistics, biostatistics, and R programming interested in biomedical applications.

University of Copenhagen · Copenhagen, Denmark · R1 · First-stage researcher
More professors at University of Copenhagen
Causal inferenceSurvival analysisLongitudinal dataBiostatisticsClinical epidemiology
Deadline
—
Funding
Salaried
Salary in accordance with the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations
Start date
2027-01-01
Full-time
Location
Copenhagen
Denmark

Overview

The Department of Public Health at the University of Copenhagen invites applications for a three-year full-time PhD fellowship focusing on causal inference within the SMARTbiomed Pioneer Centre. The successful candidate will develop and apply advanced statistical methods for complex longitudinal survival data, with a specific focus on nationwide Danish health registries and combination drug therapies for type 2 diabetes. Responsibilities include conducting independent research, completing PhD coursework, participating in external research stays, and preparing a doctoral dissertation. The position offers an interdisciplinary and stimulating research environment with joint supervision.

PhD fellowshipCausal inferenceBiostatisticsSurvival modelsR programmingDanish health registriesSMARTbiomed

What you'll do

  • Carry out an independent research project under supervision focusing on causal inference methods
  • Complete PhD courses and educational components corresponding to approximately 30 ECTS points
  • Participate in active research environments, including a collaborative stay with another research team
  • Engage in teaching activities and academic dissemination related to the PhD project
  • Write and defend a comprehensive PhD thesis based on the research findings

Requirements

Degree required: Master's degree in a relevant academic discipline within the project's subject area

Degree offered: PhD

Language: English proficiency suitable for academic writing and international communication

Instruction: English

Required skills
  • Solid background in mathematical statistics and biostatistics
  • Documented skills in theoretical and applied statistics
  • Proficiency in programming with R
  • Interest in communicating research findings through teaching, conferences, and scientific papers
Nice to have
Knowledge of clinical trialsExperience collaborating with medical researchersSpecific knowledge about group-sequential trials
Eligibility
  • Must not already be enrolled as a PhD student at the Faculty of Health and Medical Sciences, University of Copenhagen
  • Eligible for enrollment in the Faculty's graduate school

Funding & terms

Type
Salaried
Amount
Salary in accordance with the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations
Duration
3 years
Programme
SMARTbiomed Pioneer Centre
University of Copenhagen

How to apply

Deadline: 2026-09-20

Submit your application through the official university recruitment portal with all required documents written in English before the deadline.

Documents required
  • Motivation letter of application
  • CV
  • Documentation of statistical knowledge
  • Official transcripts of examination results
  • Degree certificate
  • Contact information for two reference people
↗Apply on site

Contact

TG
Prof.
Thomas Gerds
Department of Public Health
Lab
Section of Biostatistics
University of Copenhagen
SMARTbiomed Pioneer CentreDenmark
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