PhD Scholarship: Deep Learning for T Cell Immunoinformatics

Freelio; Denmark; Remote; DKK 360,000 - 420,000; Full time

Job summary

DTU Health Tech invites applications for a PhD student position in T Cell Immunoinformatics. The project focuses on developing advanced deep learning methods to model immune receptor interactions, leveraging active learning and data denoising strategies.

The scholarship is part of the DIRM project funded by Novo Nordisk Foundation Data Science Collaborative Research Programme. The position requires a two-year master’s degree (120 ECTS) or equivalent, and a strong ML/deep learning background with

Qualifications

• Strong background in machine learning/deep learning and immunoinformatics is required.
• Knowledge of structural biology and protein structure modeling is a plus.
• Knowledge of cellular immune system concepts is a plus.
• Excellent written and spoken English communication skills required.

Responsibilities

• Develop deep learning methods for immune receptor biology.
• Integrate prior biological knowledge linking sequence and function.
• Contribute to the DIRM project and data-driven model refinement.
• Collaborate with interdisciplinary teams across immunology and data science.

Skills

Machine learning

Deep learning

Immunoinformatics

Communication skills

Education

Two-year master’s degree (120 ECTS)

Job description

DTU Health Tech invites applications for a PhD student position in T Cell Immunoinformatics. The project focuses on developing advanced deep learning methods to model immune receptor interactions, leveraging active learning and data denoising strategies.

The scholarship is part of the DIRM project funded by Novo Nordisk Foundation Data Science Collaborative Research Programme. The position requires a two-year master’s degree (120 ECTS) or equivalent, and a strong ML/deep learning background with