PhD Scholarship in Machine Learning (Computational Immunology)

Job summary

This position offers a fully funded PhD scholarship focused on applying machine learning methodologies to study the immune system, particularly in relation to Type 1 Diabetes (T1D). The role involves collaboration with a leading hospital to enhance understanding of autoimmune diseases through computational approaches.

Qualifications

• A two-year Master’s degree in bioinformatics, computational biology, computer science, applied mathematics, or a related field.
• Strong passion for scientific research and knowledge expansion.
• Proficient programming skills in R and/or Python.
• Experience with machine learning and statistical analysis.
• Familiarity with biological sequence and omics data.
• Excellent written and spoken English skills.

Responsibilities

• Develop and apply machine learning methods for pattern recognition in immune repertoire and spatial transcriptomics data.
• Integrate diverse datasets from public and project-specific sources.
• Collaborate with clinical partners to interpret computational results.
• Communicate findings through publications and presentations at international conferences.

Education

• A two-year master's degree (120 ECTS points) or equivalent academic qualification is required.

Tools

• R, Python, and relevant machine learning frameworks.