Summary
The Bernhard Nocht Institute for Tropical Medicine is seeking candidates for a PhD position in Data Science. This scholarship offers an excellent opportunity to engage with cutting-edge research in computational infection biology within a supportive and interdisciplinary environment.
Scholarship Opportunity at Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany
Designation
PhD Candidate in Data Science (M/F/D)
| Details | Information |
|---|---|
| Research Area | Computational Infection Biology |
| Location | Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany |
| Eligibility/Qualification | Master’s degree or equivalent in Computer Science, Bioinformatics, or related fields, or Biological Sciences with a strong programming background. |
| Description | This PhD project focuses on developing models to understand host-pathogen interactions using large-scale RNA-seq and transcriptomics data. Candidates will explore systematic biases in datasets, develop remedies, and build predictive models. |
Core Responsibilities
- Train and modify transformer-based models.
- Characterize biases and confounding variables in datasets.
- Integrate multimodal data for host-pathogen analysis.
- Establish predictive pipelines for drug target discovery.
- Provide bioinformatics support to BNITM groups.
- Contribute to teaching and independent research initiatives.
Requirements
- Expertise in Python or R and experience in a Linux environment.
- Basic understanding of LLMs and transformer models.
- Experience or knowledge in genomics/transcriptomics and AI/ML is a plus.
- Strong organizational, communication, and problem-solving skills.
How to Apply
Candidates should apply online with the following documents:
- Cover letter
- CV
- University certificates
- Master project abstract or software project summary
- Contact details of two references
Last Date to Apply
March 25, 2026
For further inquiries regarding the application process, contact Ms. Jeannette Meurer at meurer@bnitm.de. For questions about the research, reach out to Prof. Thomas Otto at thomas.otto@bnitm.de.
