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PhD Fellowship: Agentic AI and Large Language Models for Global Pathogen Analysis
Summary by AIEngineer.careers
PhD Fellowship: Agentic AI and Large Language Models for Global Pathogen Analysis is a AI Research Engineer role (full-time). with University of Copenhagen. in KØBENHAVN, DK. Imported listing (source: linkedin.com). Apply on the employer's site (linkedin.com).
Imported listing (source: linkedin.com) · Apply on linkedin.com
KØBENHAVN · DK
—
Full-time
JUNIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from linkedin.com
This PhD fellowship focuses on developing advanced AI systems, specifically large language models and agentic AI, for global pathogen genomic analysis. The candidate will contribute to the Global Pathogen Analysis Platform by designing and evaluating intelligent models for biological data. The role combines cutting-edge AI research with practical applications in public health and genomics.
Responsibilities
- Develop and train large language models for pathogen genomic analysis
- Design and evaluate agentic AI systems for biological data processing
- Contribute to the Global Pathogen Analysis Platform initiative
- Publish research findings and collaborate with interdisciplinary teams
Requirements
- PhD-level background in computer science, AI, bioinformatics, or related field
- Hands-on experience with LLM training and evaluation
- Proficiency in modern deep learning frameworks
- Strong foundation in machine learning algorithms and model architecture
Nice to Have
- Experience in computational biology or genomics
- Prior publication record in AI or ML conferences
University of Copenhagen
København · DK · 10738+ employees
The University of Copenhagen is the largest institution of research and education in Denmark, founded in 1479. It is a world-class public research university comprising six faculties that focus on conducting research and providing education at the highest academic level.
