02 set - Roma
Embl
OverviewYour group: Fabio Petroni’s lab - EMBL Rome.
Our mission is to build AI systems that act as cognitive members of a scientific laboratory. We design and evaluate agentic AI systems that collaborate with researchers across the full discovery cycle: literature analysis, hypothesis generation, experimental design, equipment orchestration, and data interpretation.
Research and engineering are deeply integrated in the lab: ideas are built into systems, and systems enable new scientific insights.
You will have access to cutting-edge computing infrastructure and the opportunity to develop and self-host state-of-the-art language models and agents. The group works in close collaboration with wet-lab scientists and has early access to experimental data, advanced instrumentation, and deep domain expertise, enabling novel lab-in-the-loop research.
The lab is embedded within EMBL’s broader AI strategy and collaborates with leading academic and industrial partners. Candidates will be able to pursue both foundational AI research and real-world deployment in experimental scientific settings.
È pronto/a a candidarsi? Si assicuri di aver compreso tutte le responsabilità e i compiti associati a questo ruolo prima di procedere.
Your role
- Design and build agentic AI systems for life-science discovery
- Evaluate and benchmark models in real laboratory workflows
- Work at the interface between AI systems and experimental biology
- Publish high-impact research papers
You have
- A PhD in computer science, artificial intelligence, computer engineering, AI for Science, or a related field
- A strong publication record
- Experience with LLMs and agentic systems. A strong systems background, including shell and distributed systems
- Experience with modern infrastructure such as Docker, Kubernetes, CI/CD, and GPUs
- Motivation to build systems that interact with real scientific environments
- Fluency in English
A background in biology is not required.
Contract Length2 years, with pos
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