Summary
Join the “Safe Causal Inference” consortium at TU Delft for a PhD opportunity focused on developing robust methods to detect and mitigate violations of causal inference assumptions. Ideal for candidates passionate about making a significant impact in statistical and machine learning methods given their critical societal applications.
PhD Position in Causal Inference & Machine Learning, TU Delft, Delft University of Technology, Netherlands
Designation
PhD Candidate
Table
| Field | Details |
|---|---|
| Research Area | Causal Inference & Machine Learning |
| Location | TU Delft, Delft University of Technology |
| Duration | 4 years (initial 1.5-year contract) |
| Salary | €3059 – €3881 gross per month |
| Application Deadline | 20 May 2026 |
Eligibility/Qualification
- Education: Master’s degree in a relevant quantitative field (e.g., statistics, computer science, mathematics, econometrics, psychometrics, physics).
- Skills: Proficiency in programming with Python, R, Julia, or similar.
- Language: Proficient in spoken and written English.
- Attributes: Critical thinker with a strong interest in statistical and machine learning methods.
Job Description
This research position aims to:
- Understand the limits of causal assumption detection.
- Develop new methods to identify and mitigate violations, particularly positivity violations.
- Collaborate with a multi-disciplinary team of experts.
- Provide tools that enhance the trustworthiness of causal inference methods in various settings, including high-dimensional or longitudinal data.
How to Apply
Interested candidates should apply online by submitting the following documents:
- CV
- Cover letter (max 2 pages) explaining motivation and research interests
- Academic transcripts
Last Date to Apply
20 May 2026
For more information about the position, you may contact Dr. Jesse Krijthe at j.h.krijthe@tudelft.nl. Don’t miss the opportunity to contribute to groundbreaking research in causal inference!
