PhD Student in Machine Learning: Charité – Universitätsmedizin Berlin is seeking a PhD student to develop computational methods to enable rapid, data-driven diagnosis of lung diseases. The position is part of the Einstein Center for Early Disease Interception, a consortium focusing on early disease diagnosis using innovative technologies.
PhD Student in Machine Learning for Immunology
Designation
PhD Student
Table of Details
| Attribute | Details |
|---|---|
| Research Area | Machine Learning, Immunology, Infectious Diseases |
| Location | Charité Campus Virchow-Klinikum, Wedding |
| Eligibility/Qualification | Master’s degree in a quantitative discipline (physics, mathematics, computer science, statistics, machine learning, data science, or computational biology/bioinformatics) |
| Last Date to Apply | 28.02.2026 |
Research Area
The research area focuses on the intersection of machine learning and immunology, specifically in developing precision diagnostics for lung diseases through single-cell RNA sequencing and flow cytometry.
Location
Charité Campus Virchow-Klinikum, Wedding, Berlin, Germany
Eligibility/Qualifications
Required:
- Master’s degree in a quantitative discipline (e.g., physics, mathematics, computer science, statistics, machine learning, data science, or computational biology/bioinformatics)
- Strong programming skills (Python and/or R).
- Experience with machine learning methods.
- Independent, structured, detail-oriented work style.
- Proficiency in English.
Desirable:
- Experience with high-dimensional biomedical data analysis.
- Familiarity with batch correction, dimensionality reduction, or multi-dataset integration methods.
- Knowledge of software engineering principles.
- Interest in translational research and clinical applications.
Description
The successful candidate will collaborate with the Buchauer Lab and the Haas Lab to develop algorithms for integrating single-cell RNA sequencing datasets, engineer interpretable features for machine learning classification, and translate immune signatures to flow cytometry measurements aimed at lung disease diagnostics.
How to Apply
Interested candidates should apply using the online application tool available on the Charité website. For inquiries, contact Prof. Dr. Lisa Buchauer at lisa.buchauer@charite.
Last Date for Application
28th February 2026
This scholarship offers a unique opportunity to work in a high-profile research consortium with a direct clinical impact, fostering both professional and personal development in a motivated interdisciplinary team.
