Postdoc: Multimodal LLMs for Pathogen Analysis & AI Agents

DTU — Technical University of Denmark

Kongens Lyngby

On-site

DKK 520,000 - 620,000

Full time

13 days ago

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Job summary

DTU National Food Institute is seeking a postdoctoral researcher to advance multimodal LLMs and agentic AI for the Global Pathogen Analysis Platform (GPAP). You will lead projects, develop software to extract and organize metadata, and publish in top AI and bioinformatics venues.

Based in an international team, you will collaborate with partners at DTU, the University of Copenhagen, SIS, and Imperial College London, and supervise MSc/PhD students while delivering deliverables on a three-year

Qualifications

PhD in CS or related field with strong research background.
Experience in LLM post-training and benchmarking/evaluation.
Interest in AI for Science and bioinformatics familiarity preferred.

Responsibilities

Develop multimodal LLMs and agents capable of writing and executing code to extract and organize metadata.
Collect training data from GPAP partners and curate benchmarks for metadata identification.
Investigate LLM post-training, including agentic reinforcement learning and on-policy distillation.
Build agent environments that connect models with bioinformatics pipelines and GPAP software.
Evaluate agents for pathogen analysis, reporting, and reproducibility.
Lead research and software projects with MSc/PhD students, coordinating planning and reviews.
Publish research in AI conferences and journals and coordinate with collaborators.