Postdoc: Host-Microbiome Multi-Omic Data Science & AI

Freelio; Odense; Hybrid; DKK 420,000 - 520,000; Full time

Job summary

Arumugam Group at Odense University Hospital seeks a postdoc to advance deep learning methods for host–microbiome multi-omics data in liver disease projects. You will contribute to research, teaching, and guidance within multi-omics data science teams.

The role emphasizes developing novel ML approaches, collaborating across disciplines, and advancing graph-based models in a high-impact translational setting.

Qualifications

• PhD in computer science (informatics), mathematics, physics, bioinformatics, or biology with strong software development experience.
• Academic background with machine learning and statistical analysis.
• Strong programming skills and experience using deep learning frameworks (e.g., Python, NumPy, PyTorch, TensorFlow).
• Experience with deep learning model architectures including autoencoders and graph neural networks.
• Familiarity with explainable AI methods for model interpretation.
• Experience in HPC environments using UNIX and collaboration across teams.

Responsibilities

• Improve and expand current deep learning approaches and develop novel methods.
• Lead and participate in ongoing data science projects within consortia.
• Collaborate with clinicians, veterinarians, biologists, and bioinformaticians for proper interpretation of results.

Skills

Python

PyTorch

TensorFlow

Deep learning

Graph neural networks

XAI

UNIX

Teamwork

Education

PhD in computer science (informatics)

Tools

UNIX

Job description

Arumugam Group at Odense University Hospital seeks a postdoc to advance deep learning methods for host–microbiome multi-omics data in liver disease projects. You will contribute to research, teaching, and guidance within multi-omics data science teams.

The role emphasizes developing novel ML approaches, collaborating across disciplines, and advancing graph-based models in a high-impact translational setting.