PhD Student (f/m/d) in Privacy-Preserving Rare Disease Analysis
University of Tübingen, Department of Computer Science;Tübingen, Germany
About the Project
We are seeking a highly motivated PhD candidate to join our DFG-funded project on privacy-preserving rare disease analysis. This interdisciplinary research initiative focuses on developing secure and efficient methods for variant filtering, prioritization, and rare-variant association studies.
Responsibilities
- Conduct research on secure algorithms and protocols for privacy-preserving analysis of genomic and clinical data.
- Develop and integrate methods for variant filtering, prioritization, and rare-variant association studies in a federated environment.
- Implement and evaluate methods as part of an open-source software framework for privacy-preserving rare variant analyses.
- Present findings in peer-reviewed publications and international conferences.
Requirements
- Master’s degree (or equivalent) in Computer Science, Bioinformatics, Mathematics, or a related field.
- Background or interest in cryptography (e.g., secure multi-party computation), machine learning (e.g., federated learning, data privacy), or bioinformatics (e.g., variant analysis).
- Solid programming skills in at least one language commonly used in research (Python, C/C++, Java, etc.).
- Strong analytical and problem-solving capabilities.
- Excellent communication and teamwork skills.
How to Apply
Please email a single PDF to [Contact Email Address] with:
- Cover Letter (your motivation and relevant experience)
- CV (academic background, technical skills, publications)
- Transcript(s) (BSc, MSc or equivalent)
- References(contact details)
Application Deadline: [30.04.2025]
Last updated: 2025-03-30 posted on 2025-03-25